CN117546459A - System and method for alternative advertising - Google Patents
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Abstract
Methods and systems for providing video content are disclosed. A request to view video content is received from a viewer. In response to the request, it is determined whether the viewer has advertising-free rights to view the video content. In response to determining that the viewer does not have advertising-free rights to view the video content, an Alternative Advertisement (AA) query is prepared based on the query rules, and the AA query is presented to the viewer. An AA query response to the AA query is received from the viewer. In response to determining that the AA query response is the first response, one or more AA offers are determined and the AA offers are sent to the viewer. The requested video content is streamed to the viewer's viewer device without the advertisement.
Description
Cross Reference to Related Applications
The present application claims the benefit of U.S. non-provisional application Ser. No. 17/449,741 filed on 1 day 10 in 2021, U.S. non-provisional application Ser. No. 17/449,743 filed on 1 day 10 in 2021, and U.S. non-provisional application Ser. No. 17/449,756 filed on 1 day 10 in 2021, all of which claims the benefit of U.S. provisional application Ser. No. 63/214,191 filed on 23 in 2021, the disclosures of which are incorporated herein by reference in their entirety.
Technical Field
The present invention relates generally to the field of video-on-demand streaming, and more particularly to video-on-demand advertising.
Background
Most television and Video On Demand (VOD) viewers are not satisfied with commercial breaks. Commercials and advertisements interrupt the viewing experience, which is often seen by viewers as wasting time, often not raising the viewer's interests, and repeating too frequently. Viewers feel dissatisfied with the lack of control over the selection and display mechanisms of advertisements. Primary VOD services, such as Netflix, hulu, and Amazon Prime, provide commercial-free viewing with additional subscription fees charged per month. Smaller VOD services typically provide video content with commercials without the need for subscription fees.
An advertising VOD service (AVOD) provided by VOD publishers is expected to maximize their revenue by giving viewers a positive experience and meeting the needs of their advertisers. Advertisers prefer to target specific groups, but viewers are often reluctant to voluntarily provide personal information.
In U.S. patent 9,503,691 entitled "Methods and apparatus for enhanced advertising and promotional delivery in a network" to date 11 and 12 of 2016, lawrence-Apfelbaum discloses an enhanced advertisement selection and delivery system in a communication network such as a cable television network. Lawrence-Apfelbaum states that in one embodiment, a viewer may choose to have an advertisement: (i) Available after the end of the program currently being viewed, or (ii) forwarded to the viewer by email or other means. Although Lawrence-Apfelbaum describes many useful methods, lawrence-Apfelbaum does not adequately address the specific needs of modern VOD publishers, modern VOD viewers, and advertisers.
Fig. 1 shows an example of a modern conventional VOD service 100. The viewer 105 interacts with the viewer device 110. Viewer device 110 may be any of a variety of device types, such as televisions enhanced with an internal or external streaming device (such as a Roku device). The viewer 105 interacts with the viewer device 110 using a controller (not shown) and selects video content to be viewed. A Content Delivery Network (CDN) or content delivery service 120 streams video data to the viewer device 110. CDNs are highly distributed server platforms that help minimize the delay in streaming video content by reducing the physical distance between the server and the viewer. This helps viewers around the world to view the same high quality content without slow loading time. The VOD server 130 communicates with the viewer device to accept the request for video content and, in response, to transmit the video content. VOD server 130 performs various functions including viewer profile management, content management, advertisement management, and advertisement revenue and reporting. Viewer profile management keeps track of viewer information such as content viewed and any viewer login information. Content management keeps track of which video content is available for streaming. VOD server 130 communicates with content partner 140 to receive the new video content. The ad management function keeps track of available ads. VOD server 130 inserts the advertisement into the video content stream it sends to viewer device 110. The viewer has no control over what advertisements are inserted. VOD service advertisers are typically not able to target the desired group. The advertising revenue and reporting function keeps track of what advertisements have been sent to the viewer so that the VOD service may charge the advertiser. The VOD server 130 communicates with the advertisement server and the advertisement exchange server through a Service Side Platform (SSP) advertisement network 150 to obtain video advertisements for insertion. The VOD server is also typically in communication with a plurality of third party tools 160.
However, VOD viewers, VOD publishers, and advertisers want systems that allow viewers to have some control over the selection and presentation of advertising information, and allow advertisers to target specific groups.
Drawings
The drawings are intended to indicate the uniqueness and creativity of the disclosed application and to distinguish the application from the prior art. The objects, features and advantages of this application are described in detail in the specification along with the accompanying figures. In the drawings, various embodiments in accordance with the invention are illustrated by way of example and not by way of limitation. Note that like reference numerals designate like elements throughout the drawings.
Fig. 1 is a diagram illustrating a conventional VOD system.
FIG. 2 is a flow diagram that illustrates the processing by an alternative advertisement (or alternative ad) system, according to an embodiment.
FIG. 3 is a diagram illustrating components of an alternative ad system according to an embodiment.
FIG. 4 is a block diagram illustrating a computing system for implementing an alternative advertisement server and viewer device.
FIG. 5 is a diagram that illustrates components of an alternative ad database, according to an embodiment.
Fig. 6 is a diagram showing an example of commodity categories according to an embodiment.
FIG. 7 is a diagram illustrating an example of alternative ad data ingestion according to an embodiment.
FIG. 8 is a diagram illustrating the use of an alternative ad system Application Programming Interface (API) according to an embodiment.
FIG. 9 is a diagram illustrating an example alternative ad system returning a value from an API call, according to an embodiment.
FIG. 10 is a diagram illustrating an example alternative ad query on a display of a viewer device, according to an embodiment.
FIG. 11 is a diagram illustrating an example viewer device screenshot from an alternative ad application, according to an embodiment.
FIG. 12 is a diagram illustrating an example two-level alternative ad ranking survey, according to an embodiment.
Fig. 13 is a diagram illustrating an example of how an alternative ad system determines a gender or sexual orientation of a viewer, according to an embodiment.
FIG. 14 is a diagram illustrating an example of how an alternative ad system uses alternative ad query term positioning, according to an embodiment.
FIG. 15 is a flowchart illustrating an example process of how an alternative ad system determines a next alternative ad query, according to an embodiment.
Fig. 16 is a diagram illustrating an example viewer-item preference matrix according to an embodiment.
FIG. 17 is a diagram illustrating another example viewer-item preference matrix according to an embodiment.
Detailed Description
Reference will now be made in detail to various embodiments in accordance with the present invention, examples of which are illustrated in the accompanying drawings. While described in conjunction with various embodiments, it will be understood that these various embodiments are not intended to limit the present invention. On the contrary, the invention is intended to cover alternatives, modifications and equivalents, which may be included within the scope of the invention as interpreted according to the claims. Furthermore, in the following detailed description of various embodiments according to the invention, numerous specific details are set forth in order to provide a thorough understanding of the invention. It will be apparent, however, to one skilled in the art, that the present invention may be practiced without these specific details or with equivalents thereof. In other instances, well-known methods, procedures, components, and circuits have not been described in detail so as not to unnecessarily obscure aspects of the present invention.
Some portions of the detailed descriptions which follow are presented in terms of procedures, logic blocks, processing, and other symbolic representations of operations on data bits within a computer memory. These descriptions and representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. In the present invention, a procedure, logic block, process, etc., is conceived to be a self-consistent sequence of operations or instructions leading to a desired result. The operations are those utilizing physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated in a computing system.
It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise as apparent from the following discussions, it is appreciated that throughout the present invention, discussions utilizing terms such as "implementing," "inputting," "operating," "determining," "detecting," "notifying," "aggregating," "coordinating," "applying," "comparing," "participating," "predicting," "logging," "analyzing," "determining," "identifying," "classifying," "generating," "extracting," "receiving," "processing," "obtaining," "conducting," "producing," "providing," "prioritizing," "arranging," "matching," "measuring," "storing," "signaling," "proposing," "changing," "creating," "computing," "loading," "inferring," or the like, refer to the actions and processes of a computing system, or similar electronic computing device or processor. A computing system or similar electronic computing device manipulates and transforms data represented as physical (electronic) quantities within the computing system memories, registers or other such information storage, transmission or display devices.
The various embodiments described herein may be discussed in the general context of computer-executable instructions, such as program modules, residing on some form of computer-readable storage medium, executed by one or more computers or other devices. By way of example, and not limitation, computer readable storage media may comprise non-transitory computer storage media and communication media. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. In various embodiments, the functionality of the program modules may be combined or distributed as desired.
Computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data. Computer storage media includes, but is not limited to, random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable ROM (EEPROM), flash memory or other memory technology, compact disk ROM (CD-ROM), digital Versatile Disks (DVD) or other optical storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can be accessed to retrieve the information.
Communication media may embody computer-executable instructions, data structures, and program modules and includes any information delivery media. By way of example, and not limitation, communication media includes wired media such as a wired network or direct-wired connection, and wireless media such as acoustic, radio Frequency (RF), infrared and other wireless media. Combinations of any of the above should also be included within the scope of computer readable media.
In one aspect, a computer-implemented method of providing video content is disclosed. A request to view video content may be received from a viewer. In response to the request, it may be determined whether the viewer has advertising-free rights to view the video content. In response to determining that the viewer does not have advertising-free rights to view the video content, an Alternative Advertisement (AA) query may be prepared based on the query rules, and the AA query may be presented to the viewer. An AA query response to the AA query may be received from the viewer. In response to determining that the AA query response is the first response, one or more AA offers may be determined and the AA offers may be sent to the viewer. The requested video content may be streamed to the viewer's viewer device without advertisements.
In an embodiment, in response to determining that the AA query response is the first response, a viewer identity of the viewer may be determined or confirmed, and a determination may be made as to whether an AA proposal is to be generated. In an embodiment, when determining an AA proposal to send and sending the AA proposal to a viewer, the AA proposal to send may be determined and the AA proposal may be sent to the viewer in response to determining to generate the AA proposal.
In an embodiment, in response to determining that the AA query response is a second response, the requested video content may be streamed to the viewer device of the viewer along with the advertisement.
In an embodiment, a viewer profile of the viewer and a viewer history of the viewer may be maintained, a notification may be received when the viewer opens an AA proposal, views the AA proposal, or accepts the AA proposal, and a bonus point or bonus coin may be assigned to the viewer when the viewer has viewed and accepted the AA proposal.
In an embodiment, when streaming the requested video content to the viewer's viewer device without an advertisement, the requested video content may be streamed from the content database or directly from the content partner to the viewer's viewer device without an advertisement.
In an embodiment, an advertisement may be received for insertion into the requested video content, and the advertisement may be inserted into the requested video content.
In an embodiment, a record of the fee charged for the advertisement may be maintained, financial reports may be created, and financial trends may be tracked.
In an embodiment, viewer preferences for video content, AA query terms, and AA offers may be predicted for the viewer.
In an embodiment, the received notification may be processed along with the bonus points or bonus coins assigned to the viewer.
In an embodiment, a viewer profile of a viewer and a viewer history of the viewer may be updated. The viewer profile may include viewer attributes, and the viewer history may include at least one of: (i) AA query responses from the viewer, (ii) AA offers sent to, viewed by, and accepted by the viewer, (iii) video content requested and viewed by the viewer, and (iv) viewer preferences for particular AA query items and video content.
In an embodiment, the AA query may include at least one of: a query asking the viewer if he wishes to see the requested video content without an advertisement, a query asking the viewer to select between or rank AA query items, a query asking information about the viewer, and a query asking information for inferring viewer attributes and preferences.
In an embodiment, in determining the AA proposal to send, the AA proposal to send may be determined based on at least one of: viewer history, branding rules and control data, and preferences of Video On Demand (VOD) publishers for AA offers that increase revenue for VOD publishers.
In an embodiment, the AA proposal may be sent to the viewer using a delivery channel selected by the viewer. In embodiments, the AA proposal may include a promotion code, discount, or network link to other AA proposals.
In an embodiment, an Application Programming Interface (API) library may be used to communicate with AA applications running on the viewer device. The API library may include at least one of an AA application API, a content API, a transaction API, and a data analysis API.
In an embodiment, the AA proposal is determined based on control data. The control data may include at least one of the following information: the length of time that the viewer may view the advertisement-free requested video content, the number of times the same one or more AA offers are repeatedly sent, the number of consecutive times the viewer enters a particular AA query response before providing the viewer with opt-out information, the number of consecutive times the viewer enters a particular AA query response before changing the AA query title and subtitle, and the number of consecutive times the viewer fails to open one or more AA offers before providing the viewer with opt-out information.
According to some embodiments, an Alternative Advertisement (AA) system enhances a viewer's VOD content viewing experience by allowing the viewer to provide information instead of viewing advertisements during video content playback. Viewers immediately benefit from taking a few seconds to enter information rather than having to watch a few minutes of advertising. Advertisers benefit from this because viewers strengthen and even create preferences for their brands and products whenever they express opinions. The AA system provides AA offers based on viewer entered information, video preferences, and profiles. The AA system provides different AA proposal-delivery options including email, short Message Service (SMS), and text.
The AA system provides AA services to viewers desiring to view VOD. The AA system creates and displays AA queries to gather information from viewers. The AA system creates and displays AA queries of different AA query types. Each AA query has one or more AA query items that the viewer can select to show preferences.
Fig. 2 is a flowchart showing a process performed by the AA system according to an embodiment. Process 200 may be performed by processing logic that comprises hardware (e.g., circuitry, dedicated logic, etc.), software (e.g., embodied on a non-transitory computer readable medium), or a combination thereof. For example, process 200 may be performed by AA system 300 of FIG. 3. Referring to fig. 2, in operation 201, the AA system receives a request to view specific video content. In operation 202, the AA system determines whether the viewer has advertising-free rights to view the particular video content. If the viewer has previously requested the same video content, has selected to view the content ad free, and provided the information requested by the AA query, the AA system allows the viewer to view the video content ad free. AA systems may allow viewers to view the same video content for a period of time, such as up to 12 months. This allows the viewer to stop the video content, fast forward, fast backward, continue playing, and view again later. The period of ad-free viewing that a viewer has is controlled by system control parameters. For example, if the viewer has been logged in before, the AA system may discern the identity of the viewer. If the viewer is not already logged in, the AA system may use a cookie stored on the viewer device to identify the viewer. In one embodiment, the AA system requests the viewer to log in before the viewer can request the video content without using a cookie by the AA system. If the viewer has the right to view the video content ad-free, the AA system proceeds to operation 260. At operation 260, the AA system starts streaming video content without advertisements. If the viewer does not have the right to view the video content ad-free, the AA system proceeds to operation 205.
In response to the video content viewing request, the AA system prepares an AA query to ask the viewer for information and then presents the AA query to the viewer in operation 205. The AA query may include a question asking the viewer if he/she wishes to view video content without an advertisement. The AA system prepares the remainder of the AA query based on a number of factors including the viewer's past preferences, if any. AA interrogation may request different types of information such as a category of query merchandise, advertising brands, or preferences or ranks between merchandise. AA interrogation may also require information about the viewer, or information that may be used to infer viewer attributes and preferences. AA interrogation may take a variety of forms known as AA interrogation types. Most viewer devices have only a virtual keyboard and therefore text entry is tedious for most viewers. The AA query may require the viewer to select an AA query item on the viewer device display. Different AA query types may require the viewer to select items or rank items sequentially. Different AA query types may also require the viewer to select between different categories of AA query items, such as selecting among brands or selecting among merchandise categories. The AA system selects AA queries based on various determinants, including: current and past viewers' preferences or favorites for brands, categories of merchandise, or merchandise; previous AA proposal acceptance; market trends and viewer video content selections. The determinants also include advertiser/brand preferences (including brand rules), AA proposal seasonality, past AA proposal history, and survey requests. The advertiser may make a survey request asking the AA system to display an AA query asking questions about the advertiser's merchandise. Branding rules include rules for displaying items, bidding, making AA suggestions, and viewer targeting. The determinants also include preferences of the VOD publisher for the AA proposal, which increases revenue for the VOD publisher. The AA system uses AA query rules to select AA query types. The AA interrogation rules depend on factors including: known information about a particular viewer, known information about individual brands, categories of merchandise, and preferences of merchandise.
In operation 208, the AA system receives an AA interrogation response to the AA interrogation. In operation 210, the AA system examines the AA query response to determine if the response included in the AA query response is affirmative. For example, if the system receives a negative response to the question included in the AA query asking the viewer if he/she wishes to view video content without an advertisement, the AA system continues at operation 220. If the system receives a positive response to the question asking the viewer if he/she wishes to view the video content without an advertisement, the AA system continues at operation 230. At operation 220, the AA system begins streaming the requested content to the viewer device with the inserted video advertisement. After operation 220, the AA system proceeds to operation 265 where the system updates the viewer data (e.g., viewer profile and viewer history). The AA system keeps track of AA query answers, AA offers sent, viewed and accepted, video content requested and viewed, and viewer preferences for specific AA query items (e.g., brands, merchandise categories, merchandise) and video content. The AA system may update viewer attributes such as gender or age range based on the AA query answers.
In operation 230, the AA system determines or confirms the viewer identity. If the viewer is not already logged in, the AA system requires the viewer to login (with an existing account) or register to create a new account. AA systems allow viewers to use email or existing external accounts (such asOr->Etc.) to log in or register with an account of the VOD distributor. In 240, the AA system determines whether the AA system should generate one or more AA offers. Some AA challenges are designed to generate AA offers, and some AA challenges are designed to collect information instead of sending AA offers. In some cases, the AA system may not find the appropriate AA proposal to send. In FIG. 2, if the AA system decides not to generate an AA proposal, then the AA system continues at operation 260, and if the AA system decides to generate an AA proposal, then the AA system proceeds to operation 250. The sequence of operations may be different from that shown in fig. 2. For example, the AA system may begin streaming the requested content before the AA system determines the best proposal. Furthermore, the AA system may update the viewer data before or after starting video streaming. In operation 250, the AA system selects one or more best AA offers to send. The AA system uses a number of factors to decide the best AA proposal to send. These determinants may include: viewers shown in the current and past are directed to brands, categories of merchandise, preferences or favorites of merchandise, previous AA offers, and/or video content. The determinants may also include advertiser/brand preferences including bidding rules, AA proposal seasonality, past AA proposal history, and/or viewer targeting rules. The determinants may also include preferences of the VOD publisher for AA offers that increase revenue for the VOD publisher. In operation 255, the AA system begins sending the selected one or more AA offers using the viewer's preferred (or selected) delivery medium or channel. AA systems typically send AA offers at different times, e.g., an AA system may send a first AA offer at 7 pm, a second AA offer at 10 pm, a third AA offer at 10 am, etc. The AA system operator may set configuration parameters that control AA proposal delivery times. At operation 260, the AA system begins streaming the requested content to the viewer device without inserting the video advertisement. At operation 265, the AA system updates the viewer data.
In an embodiment, the AA system receives a notification when the viewer has opened an AA proposal email, has clicked on a link in an AA proposal email, or has used an online coupon included in an AA proposal. The AA system may assign bonus points or bonus coins to viewers who have viewed and/or accepted email AA offers. The bonus points or bonus coins may be exchanged for various benefits including viewing video content without advertisements, viewing premium video content that would otherwise require a fee, or merchandise.
Viewer scene example
Some possible uses of the AA system in the case of the example scenario are described below.
The viewer selects the brand for the first time. The viewer may start or launch an AA application for the first time and select a VOD program to be viewed on a portable viewing device (e.g., smart phone, tablet, etc.), television, or desktop computer. Before starting playing the VOD content, the AA system may present an AA query to the viewer asking if the viewer wants to watch the program without inserting an advertisement. The AA query may also allow the viewer to select multiple brands from a graphical or named list of brands. If the viewer's response is "no" (e.g., by selecting the "no" button), the AA system may play the program with the inserted advertisement. If the viewer selects the desired number of brands and clicks the "yes" button, the AA system may ask the viewer to use an existing VOD publisher account or external account (such as Or->Account) or use an Identification (ID), such as an email ID, to create a new VOD publisher account. After the viewer has logged in, the AA system may store a cookie on the viewer device to make further viewer identification easier. In this example, the viewer has selected an action program with car chase (car chase). The AA system maintains a database in which all choices made by all viewers for each program type are listed. The AA system displays the most frequently selected brands for the current program type. In this example.AA systems display brands of automobiles, such asAnd->Etc.
The viewer may select the desired number of brands requested, e.g., click "yes", then complete login/registration and begin viewing ad-free video content. The AA system may send multiple AA offers to the viewer to improve awareness or as a call-to-action. The AA proposal may include a specific promotion code, discount, or network link to a specific AA proposal. In this example, the AA system uses email, but the AA system may use other channels, such as SMS or text messages, etc. The AA system may select a particular AA proposal email associated with the selected brand. The AA system may maintain a database listing AA offers associated with various brands. The AA system may send the highest priority AA proposal for each selected brand. As an example, if the viewer selects Tesla, mercedes and Toyota, the AA system sends a target And->Is a AA proposal of (2). In this example, the AA system may send the Tesla AA proposal immediately, the Mercedes AA proposal three hours later, and the Toyota AA proposal three more hours later.
A commodity category is selected. The viewer may log in and select to watch comedy programming. The AA system may want to find out what type of AA proposal the viewer may be interested in. In an embodiment, before starting playing the VOD content, the AA system presents an AA query to the viewer asking the viewer if he wants to watch the program without an advertisement. AA interrogation allows the viewer to select multiple categories of merchandise. If the viewer selects the desired number of merchandise categories and clicks the "yes" button, the viewer may proceed to view the program without advertisements. For example, the AA system may require the viewer to select three merchandise categories from the options of athletic shoes, snacks, hats, and candy. After the viewer selects the treats, hats, and candies, the AA system may send the viewer an AA proposal for the best treats, hats, and candies from the advertiser AA that provided them. In addition to selecting brands or general merchandise categories, the AA system may require the viewer to select a particular brand merchandise category (e.g., mcDonalds 'salad, mcDonalds' sandwiches) or merchandise (e.g., stargate SG-1, firefly, star Trek Discovery).
A ranked commodity subcategory is selected. The AA system may want to better understand the types of AA offers that may be of interest to the viewer. In an embodiment, before starting playing the VOD content, the AA system presents an AA query to the viewer asking the viewer if he wants to watch the program without an advertisement. AA systems also allow viewers to select multiple categories of merchandise. If the viewer selects one or more merchandise categories, the AA system presents one or more menus of the corresponding merchandise subcategories to the viewer. AA systems require viewers to rank the commodity subcategories in order of preference. For example, the AA system may require the viewer to select 3 merchandise categories from the options of sports shoes, snacks, hats, and candies. As an example, after a viewer selects a snack, the AA system may ask the viewer to rank the commodity categories of healthy snack, potato chips, and popcorn. After the viewer selects the candy, the AA system may ask the viewer to rank the three types of candy in the order of preference. After entering the desired information, clicking "yes" and logging in or registering, the viewer may proceed to watch the program without the advertisement. The AA system keeps track of the viewer's merchandise preferences and sends AA offers to the viewer using each highest ranked merchandise subcategory. The AA system uses a database that indicates which AA offers apply to which merchandise categories.
Different AA ranking surveys were used. In addition to ranking general merchandise categories, the AA system may require viewers to select brands, specific brandsThe category of merchandise, or merchandise, then requires the viewer to rank the brand, brand-specific category of merchandise, or merchandise corresponding to the initial selection. For example, multiple advertisers may wish to better understand the popularity of new products among their customers. For example, an AA system may require a viewer to be fromTacoAnd->Three items are selected from the options of (a). If McDonalds is selected by the viewer, the AA system may ask the viewer for +.>Different products are sold (e.g. Big->Bacon cheese hamburger and new meat free sandwiches).
Bidding rules. An advertiser may specify a bid in a competitive situation. For example, the viewer may select a general commodity category for the beverage and then provide a first SunnySecond Red->And third->Is a ranking of (3). SunnyIt is possible to bid 10 cents after the first rank to make an AA proposal. />It is possible to bid 20 cents after the first rank to make an AA proposal. Red->It is possible to bid 15 cents for AA proposal after the first ranking and 30 cents for AA proposal after the second ranking. In an embodiment, the AA system is doing the same for Red- >Is due to Red +.>With the highest bid. In an embodiment, the AA system employs a real-time bidding system, wherein a third-party server is in communication to solicit and receive bids in real-time.
The viewer attribute is found. Advertisers prefer to target consumers based on demographics such as gender, age, and geographic location. Viewers may be reluctant to reveal personal information as such. After the viewer has viewed multiple programs without advertisements, the AA system may introduce questions to help determine viewer attributes. The AA system may first attempt to directly query the age range and gender of the viewer in exchange for viewing ad-free content. If the direct question fails, the AA system may infer the gender, age, and other attributes of the viewer based on the viewer's preferences for programs, merchandise categories, and brands. For example, the AA system may construct a menu with male-friendly and female-friendly items for the specific purpose of determining the gender of the viewer. If the viewer selects a male friendly item, the AA system concludes that: the user is a male. AA systems can use a number of methods to determine the geographic location of a viewer, including Internet Protocol (IP) address lookup, direct interrogation, and inference from answers to indirect questions. The AA system may also allow the viewer to review and edit viewer profile data through a separate account setup menu. The viewer may use this mechanism to specify options such as gender and age, change the method of AA proposal delivery (e.g., email, SMS, or text), and opt out or opt into the AA service. If a viewer chooses to exit the AA service, the AA system may not present the AA query to the viewer and may default to show the content with the inserted advertisement.
And (5) inquiring information. In addition to posing questions about viewer attributes, the AA system may also be controlled to make other information queries. For example, the AA system may make a request such as "do you like an AA proposal previously sent to you from brand X? "problem. The email AA proposal may include a button (such as an emoticon, etc.) to query the viewer for the value of the AA proposal. In an embodiment, the AA system uses hypertext markup language (HTML) email coding to create visually appealing email content by displaying various colors, images, backgrounds, and fonts. Emoticons may show both positive and negative images such as happy and sad faces, standing up and standing up thumbs, etc. Clicking on the button sends a message to a Uniform Resource Locator (URL) address, where the website corresponding to the URL address records the event and reports back to the AA server. In one embodiment, clicking a button invokes a script that plays an audible tone or sound. Clicking on the positive and negative images produces different positive and negative audible tones or sounds.
Advertiser rules. Advertisers often want to target specific viewers. An advertiser may represent a single advertising brand or multiple brands. Advertisers may introduce rules that emphasize groups. In a competitive scenario, advertisers bid to have their brands or goods displayed in an AA inquiry, or make an AA proposal. For example, the viewer may select "luxury car" from the AA query asking for preferences regarding the category of merchandise. Vehicle manufacturers may bid dollars 3 to make AA offers on luxury vehicles to male viewers aged 40-55 years. If a viewer is 21-29 years old, the same vehicle manufacturer may bid $1 only.
And (5) advertisement investigation. Advertisers want to measure people's interest in their products (especially in new and future products). For example, a VOD distributor may have to decide which television content to purchase or which new, un-composed programs to subsidize. The VOD distributor instructs the AA system to ask the viewer for preferences for television programs that are not made or are not currently available.
AA system
FIG. 3 is a diagram illustrating components of an AA system according to an embodiment. In fig. 3, the AA system 300 may include an AA system viewer 305 interacting with a viewer device 310. In an embodiment, the viewer device 310 may include a display capable of displaying a superposition of streaming video content and images and an input device for accepting viewer input. In another embodiment, the viewer device 310 may interact with a display and an input device. The display and input device may be separate from or integrated with the viewer device 310. The viewer device 310 may be comprised of a plurality of separate or integrated components. The viewer device 310 may be of various types including: televisions with integrated streaming devices, televisions with separate streaming devices, smart phones, laptops, tablet computers, desktop computers, automotive computers, or game consoles. The streaming device may be of various types including: roku device, amazon Fire Stick, digital Video Disc (DVD) player, set top box, or Digital Video Recorder (DVR). The viewer device 310 runs an AA application. Viewers may typically download AA applications onto their devices, but some viewer devices may be preloaded with AA applications. AA applications typically use over-the-top (OTT) functionality to overlay AA interrogation and information on a viewer's screen or window. The specific display mechanism depends on the type of viewer device. For example, a smartphone AA application may display AA queries using iOS and Android APIs as appropriate.
With continued reference to fig. 3, the system 300 may include a Content Delivery Network (CDN) or content delivery service 120 that handles data transfer between the viewer device 310 and the AA server 320. CDNs are highly distributed server platforms that help minimize the delay of streaming video content by reducing the physical distance between the server and the viewer. This helps viewers around the world to view the same high quality content without slow loading time. AA server 320 is a networked computing system, typically in the cloud. The AA server 320 communicates with an AA application running on the viewer device 310, accepting requests for video content, and in response, transmitting the video content. The AA server 320 also sends AA challenges to the viewer device 310 and receives AA challenge responses. The AA server 320 may include and perform various functions including viewer profile management, content management, advertisement revenue and reporting, AA processing management, AA/content analysis, AA data ingestion, AA proposal management, AA query management, and AA rewards management.
The viewer profile management function may handle both conventional VOD system requirements and new AA system requirements. The AA viewer profile management function keeps track of attributes that are directly entered, inferred, or derived, such as age, gender, and geographic location. The AA viewer profile management function maintains a record of the preferences of individual viewers for brands, goods categories and options. The AA viewer profile management function maintains a record of viewing habits, responses to AA queries, AA offers sent to viewers, and a record of individual viewers' responses to AA offers. The AA viewer profile management function maintains a record of which AA query responses apply to which requested video content. The viewing habit data includes a video content identifier and the time and date when the viewer requested or viewed the content. The AA viewer profile management function receives a notification when the viewer opens an AA proposal email, clicks on a link in an AA proposal message, or uses a discount offered by the AA proposal.
The content management function manages the input of new video content (from content partners 140 and third parties), the streaming of video to viewers, and the maintenance of a data dictionary listing available video content and its associated metadata. The AA server 320 can store video content in the content database 340. AA server 320 can also maintain a record of individual viewer interactions with video content. The AA server may stream video content from the content database 340 or directly from the content partner 140.
The advertisement management function manages inserting advertisements, bidding and AA offers. The advertisement revenue and reporting function manages revenue, AA query term display, bids, and AA offers associated with inserting advertisements. The AA server receives advertisements from SSP/advertisement provider 150 for insertion into video content. The VOD distributor charges a fee when displaying the inserted advertisement, making the AA proposal, and may charge a fee when displaying the brand, merchandise, or category of merchandise in the AA query. Advertisement management, advertisement revenue and reporting functions maintain a charged fee, record of financial reports created, and may track financial trends.
The AA processing management function provides overall control of the AA system 300. An AA processing management function manages a plurality of processes or threads, including: a process or thread that handles initial viewer requests to access the AA server, a separate process or thread that handles communications with each different viewer, a process or thread that handles notifications such as open emails, etc., and a process or thread that communicates with content partners, third parties, and AA system operator 325.
The AA/content analysis function analyzes AA data and content viewing data and makes predictions. The AA server predicts the viewer's preferences for video content, brands, merchandise categories, and AA offers. The AA server keeps track of issues such as which brand gets the most clicks, which brand generates the least revenue and trends, etc.
The AA data ingest function manages the input and maintenance of AA data such as advertisers, brands, branding rules, merchandise categories, and AA offers. In one embodiment, the system 300 may include an AA system operator 325 that directly interacts with the AA server 320. In another embodiment, one or more AA system operators 325 may interact with AA server 325 remotely. Some AA system operators may have limited access, such as only having access to certain brand-related data.
The AA proposal management function manages AA proposal selection and transmission of AA proposals.
The AA query management function manages AA query generation. The AA server uses AA query rules to decide which AA query to present to the viewer.
The AA prize management manages the AA prize system, including handling notifications of when AA offers are opened or accepted, prize point allocation and accounting, and prize point redemption.
The AA server 320 may store data in the AA database 330 and retrieve data from the AA database 330. The AA database 330 and the content database 340 may each reside on one or more computer storage devices and use one or more database management systems. In one embodiment, the AA database 330 uses a relational database management system and the AA server uses relational database queries to access AA data.
AA server 320 may interact with one or more third party licensee 360. The third party licensee 360 uses API calls to access the functions of the AA server 320. The third party licensee 360 uses the AA server 320 to generate AA queries and to generate AA offers. In one embodiment, each third party licensee 360 uses its own dedicated AA server 320, which server 320 uses its own AA database 330. The AA server 320 may not have access to the licensee's viewer profile and content database, but maintains limited information about the viewer and content in the AA database 330. To meet privacy concerns, the AA server 320 may not know the email address or other viewer information of the viewer. The third party licensee may generate an anonymous email id for communication with the AA server. The third party licensee sends the generated AA proposal to the viewer.
FIG. 4 is a block diagram of an example of a computing system in which one or more of the different embodiments described herein may be implemented. For example, the computing system 400 may be used to implement an AA server and a viewer device (as previously described). In an embodiment, system 400 includes at least one central processing unit 402 and a system memory 404, as shown by dashed line 406 in FIG. 4. The system 400 may also include additional features and/or functionality. For example, system 400 may also include additional storage (e.g., removable and/or non-removable) including, but not limited to, magnetic or optical disks or tape. Such additional storage is illustrated in fig. 4 by removable storage 408 and non-removable storage 420.
The system 400 may also include a communication connection 422 that allows the device to communicate with other devices, such as using a logical connection to one or more remote computers in a networked environment. In addition, the system 400 may also include an input device 424, such as, but not limited to, a voice input device, a touch input device, a keyboard, a mouse, a pen, a touch input display device, and the like. In addition, the system 400 may also include an output device 426 such as, but not limited to, a display device, speakers, printer, etc.
In the example of fig. 4, memory 404 includes computer-readable instructions, data structures, program modules, etc. associated with one or more various embodiments 450 in accordance with the present invention. Embodiments 450 may include AA systems and computer-readable instructions and data, as well as viewer device AA application computer-readable instructions and data. However, embodiment 450 may alternatively reside in any one of the computer storage media used by system 400, or may be distributed across some combination of computer storage media, or may be distributed across some combination of networked computers, but is not limited thereto.
Note that computing system 400 may not include all of the elements shown in fig. 4. Furthermore, computing system 400 may be implemented to include one or more elements not shown in fig. 4. Note that computing system 400 may be utilized or implemented in any manner similar to that described and/or illustrated by the present invention, but is not limited to such.
FIG. 5 is a diagram illustrating components of an AA database according to an embodiment. In FIG. 5, the AA database 330 may include a plurality of sets of interrelated data, such as AA offers 505, merchandise 510, advertiser brands 515, advertisers 520, and merchandise categories 525. The AA proposal 505 may be an advertisement message sent in response to an AA query. The AA proposal 505 may have associated text, clickable URL links, and associated illustrations, such as one or more bitmap images, etc. The AA proposal 505 may provide a discount on a product or service, provide information indicating an action call requesting the viewer to do something in a time interval, or request the viewer to click on one or more links. The AA proposal 505 generally applies to a particular advertiser 520, one or more advertiser brands 515, a particular good 510, and/or a category of goods 525. Advertiser 520 may own or represent one or more advertising brands 515. Example(s) As an example of the presence of a metal such as, companies have many detergent brands, including Tide, persil, gain, etc. Other advertisers may represent a brand. For example, an advertiser may wish to provide an AA offer for a) any items from the advertiser; b) Any merchandise associated with one or more particular brands; c) Specific merchandise or category of merchandise to give viewers a 10% discount. Each advertiser has goods that they wish to promote. The good 510 may be any good or service from the advertiser. For example, commodity 510 may be "Meineke's brake or oil change service", or +.>Advertisers 520 may group items 510 together into named item categories 525. The advertiser 520 may request that the AA system create an AA query that queries about the specific goods and goods categories they define in the AA database.
The AA proposal 505, the merchandise 510, the advertiser brand 515, the advertiser 520, and the merchandise category 525 have relevant attributes such as AA proposal location, seasonality, and rules. For example, an advertiser may want to limit AA offers 505 to viewers in the united states, or make certain AA offers only during christmas sales. In many cases, the advertiser wants to specify a single value that applies to all relevant AA proposal 505, items 510, advertiser brands 515, and item categories 525. In other cases, the advertiser may want to specify different values for different AA offers 505, items 510, advertiser brands 515, and item categories 525. In one embodiment, the AA system provides attribute value inheritance so that the good 510 may assume attribute values from the parent advertiser 520.
The AA system creates AA queries to ask viewers for a generic category of merchandise (e.g., any detergent or any snack food) containing merchandise from multiple advertisersPreferences are shown. To this end, the AA database maintains a list of generic commodity categories and their associations with specific advertiser commodities, commodity categories, and AA offers. AA commodity categories and commodities are different from commodities due to being more versatile and including services and productsThe category of goods and goods found on the website.
The AA database 330 may be implemented in a variety of ways. In one embodiment, the database is made up of a plurality of different record types including the record types of AA proposal 505, merchandise 510, advertiser brand 515, advertiser 520, and merchandise category 525. Each record has a field or attribute with a value. The individual records may be considered as objects. The relationship may be stored in a three-value record in the form "< object 1> < relationship > < object 2 >". The < relationship > field has a value such as "AA proposal for …", "member of …", "father of …".
AA query item 530 is an object that appears in an AA query. When the viewer selects the AA query term 530, the viewer typically indicates a preference for the object. Each AA query term 530 has associated display text and/or artwork. Each AA query term 530 refers to another object in the database that includes a particular advertiser 520, advertiser brand 515, particular merchandise 510, merchandise category 525, or an attribute in viewer profile 535. In one embodiment, the AA database 330 includes AA query term records. In another embodiment, the AA system derives the AA query term from other record types having a field indicating whether the record represents an AA query term. The AA query term may indicate a viewer's preference or may be used for purely informational purposes. The AA query term has a scorable attribute to indicate whether the AA query term indicates a viewer's preference.
The viewer profile 535 contains known information about the viewer. The viewer profile 535 includes fields for login credentials, email address, age, gender, location, rewards status, and preferences.
AA query type 540 gives information about possible AA query types. The AA system displays AA queries as a screen overlay on some viewer devices (e.g., smartphones) and windows on other viewer devices (e.g., desktop computers). The AA query types include: a) a single screen/window AA query, wherein the viewer selects N brands from M options, b) a single screen/window AA query, wherein the viewer selects N general merchandise categories from M options, c) a single screen/window AA query, wherein the viewer selects N specific advertisers or merchandise categories of specific brands from M options, d) a dual screen/window AA query, wherein the viewer selects N brands from M options on a first screen/window, and then P merchandise categories from Q options (related to N selections) on a second screen/window, e) a specific AA query designed to determine the gender of the viewer, f) a specific question of the viewer's choice of gender and age range.
The AA query rule 545 controls the AA server's selection of AA query types and AA query items to send to the viewer.
The brand rules and control data 550 allows the advertiser or brand manager to control what AA offers it sends or when their brands, goods, and goods categories are shown in the AA inquiry. As an example, for the first AA query type above, where the viewer selects among competing brands, these brands are shown as options in competition. An advertiser may specify a bid, such as 20 cents, etc., and specify a maximum budget. The advertiser may further refine the bid so that different amounts are bid depending on the group of viewers, such as age and/or gender. For the second AA interrogation type above, where the viewer selects among the generic merchandise categories, the brand is competing in two ways. Each advertiser wants his or her category of merchandise to be shown as an option. After the viewer selects the generic merchandise category, the AA system may need to decide which advertisers to begin sending AA offers. The advertiser may specify a separate bid amount for a) showing its category of merchandise as an option, and b) the advertiser selected to send the AA proposal.
The control data may be represented in a variety of ways including global variable values, parameter values, rules, and object attributes. The AA system operator may change the control data to change AA system behavior. In one embodiment, the global variables include:
the length of time that the viewer can view the ad free episode.
The number of times the same AA proposal is repeatedly sent.
Before giving the viewer the option to exit the information, the viewer must ask the AA for a consecutive number of inputs "do not, i want commercial".
The viewer enters a continuous number of "don't, i want commercials" before the AA system changes AA query titles and subtitles.
The viewer fails to open the AA proposal email a consecutive number of times before being given the option to exit the message.
The attributes of each AA query type object control the format and behavior of AA queries of the corresponding type. AA query type objects include:
the number of items that the viewer can select.
The number of items to rank.
The number of levels of pictures/windows.
The information contained in the AA query rules, brand rules, control rules, and control data may be entered, displayed, and stored in a variety of ways. In an embodiment, the rule is in the form of "if" < condition > "then" < action >. The < condition > component may use conjunctions and disjunctions of the base conditions. The basic conditions include checking whether an AA query item is selected, comparing the count of events, and testing the viewer attribute. Basic conditions refer to objects and object properties. The AA system definition rules may reference global objects such as current viewer, current AA proposal, or current AA query choice. For example, a rule may include "current viewer- > location" to reference the location of the current viewer. The AA system uses built-in functions in the same way that spreadsheets use built-in functions in their formulas. The AA system may make multiple simultaneous AA offers, or have multiple AA query items selected. These rules allow the embedded function to decide whether these rules apply to the individual terms separately or when any or all terms meet certain conditions. The < action > component includes actions of displaying or not displaying AA query terms, making or not making AA offers, changing bids or selecting AA query types, etc.
Examples of branding rules include:
if the viewer selects a commodity category truck, no bidding is performed.
If a particular AA proposal has been sent for a particular amount of time (e.g., 500 times), then the associated AA query term is not displayed.
If the viewer is not in the united states, no AA proposal is sent.
If the viewer's second choice matches the advertiser's AA query term, bid on it.
If the viewer is male and in a certain age group (e.g., 30-55 years old), then bid for an extra amount (e.g., 50% more).
The control rules and control data 555 controls the overall operation of the AA server. Examples of control rules include:
if the viewer answers "no" to the AA query a certain number of times (e.g., 8 consecutive), the content is played with the advertisement.
If the viewer does not open a certain number of previous AA offers (e.g., the last 20 AA offers), then the content is played with the advertisement.
If the viewer answers "yes" to the AA query a certain number of times (e.g., 10 times), then a viewer profile question is posed.
If the viewer has received the same AA proposal a certain number of times (e.g., 3 times), then the AA proposal is not sent again.
If the viewer has previously selected from a small number of selectable items (e.g., < 10% of all selectable items), an AA question is constructed showing 50% of the high system benefit query items and 50% of the random query items.
If the viewer has opened an AA proposal email within the previous days (e.g., the last 60 days), then the AA inquiry item associated with that AA proposal is not shown.
If the viewer does not click on a particular brand after some consecutive presentations (e.g., 5 consecutive presentations), that brand is not shown.
The viewer history 560 includes a record of all viewer selections and preferences.
Fig. 6 is a diagram showing an example of commodity category. In fig. 6, merchandise category 525 may include merchandise category garment 605 with links to more specific merchandise category men's wear 610 and women's wear 615. The merchandise category men's wear 610 has links to more specific merchandise category shirts 620, socks 625, and footwear 630. Commodity category suit 615 has links to more specific commodity category skirts 635, socks 625, and pants 640. The article of merchandise class footwear 630 has links to more specific article of merchandise class athletic footwear 645 and boots 650. The merchandise category sock 625 may be a materialization of both men's wear 610 and women's wear 615. AA systems use a hierarchy of commodity categories in several ways. First, the AA system uses the commodity category hierarchy to construct queries to find more specific preferences of the viewer. Second, the AA system uses the commodity category hierarchy to match advertiser commodity and viewer commodity category preferences. For example, the viewer may indicate an interest or preference in footwear. The AA system may determine that an advertiser who promoted the boot may be of interest to the viewer.
Fig. 7 is a diagram illustrating an example of AA data ingestion according to an embodiment. Referring to fig. 7, the AA data ingest 700 may begin with the AA system operator 325 entering data to be stored in the AA database 330. In operation 710, the AA system operator 325 may capture advertiser, brand, AA proposal, and merchandise data. The AA system operator 325 may enter fields such as: a) Advertiser supported categories of goods, brands, AA offers, and goods, b) geographic details (such as country and region where applicable, etc.); a group (such as age range and gender, etc.), c) maximum and minimum revenue related limits, d) pricing and bidding parameters, e) seasonality, such as holidays, time/date associations in a year, etc., f) brand control rules. In operation 750, the AA system operator 325 may enter or create an associated AA query term and an illustration of the AA proposal. In operation 720, the AA system operator 325 may enter or update control rules and associated control data. In operation 730, the AA system operator 325 may enter or update the generic merchandise category to be consistent with the advertiser/brand merchandise category. In operation 740, the AA system operator 325 may enter or update AA query types and AA query rules.
Fig. 8 is a diagram illustrating the use of an AA system Application Programming Interface (API) according to an embodiment. In fig. 8, the AA server 320 can include a plurality of Application Programming Interface (API) libraries for communicating with AA applications 810 running on viewer devices (e.g., viewer device 310 of fig. 3), content partners 140, SSP/advertising network 150, and third party tools 160. The API library may include: AA application APIs, content APIs, transaction APIs, and data analysis APIs.
The AA application 810 can send an AA query request 820 for an AA query. The AA interrogation request 820 may include process parameters identifying the viewer, the requested content, and the capabilities of the viewer device. If the viewer device supports cookies, the AA system will store the viewer identifier on the viewer device. If the viewer has logged on the viewer device, the AA application 810 may have a viewer identifier associated with the login, such as a viewer email address, or the like. The AA interrogation request 820 may include a login viewer identifier and a cookie viewer identifier. If the identifier is unknown, the process parameter may have a value, such as a null value, that indicates that the identifier is unknown. In an embodiment, the AA interrogation request 820 includes a content identifier that identifies the requested video content. AA interrogation request 820 includes the type of viewer device or structure providing the capabilities of the viewer device. Common viewer device types have standard display sizes. The AA server 320 receives the AA query request 820 and responds by sending AA query result 830. AA query result 830 may identify an AA query type, AA query item, and associated display artwork or video.
FIG. 9 is a diagram illustrating an example AA system returning a value from an API call, according to an embodiment. In fig. 9, AA application 810 may send AA query response (or answer) 910 to AA server 320. The AA query response 910 may include a login viewer identifier, a cookie viewer identifier, an answer to whether the viewer wants to view ad-free content, and an AA query item selection. After receiving the AA query response 910, the AA server 320 can send a return code 920 to the AA application 810 indicating success or failure.
Viewer interface
Fig. 10 is a diagram illustrating an example AA query on a display of a viewer device according to an embodiment. In an embodiment, the AA query 1000 summarizes the purpose of the AA query, gives the viewer an explicit indication of what to do, presents selectable items, and has two buttons for accepting or rejecting viewing AA offers of ad-free content. AA interrogation may encourage viewers to select ad-free options, which is easy to understand and quick to accomplish. As shown in fig. 10, AA query 1000 includes a title 1004 (e.g., "watch the episode without advertisement"). Title 1004 summarizes the purposes of AA query 1000 and encourages viewers to select and view ad-free video content. For example, if a viewer has requested a movie or other video content without an episode, the AA query 1000 may replace the word "episode" as appropriate. In one embodiment, the title 1004 has a larger font than the other screen text. The AA query 1000 may also include a subtitle 1006 (e.g., "click down <N>Individual item and click yes "), wherein<N>Is an integer greater than 0. The subtitle 1006 may provide an explanation of what the viewer should do and encourage the viewer to select the button 1015. The AA query item 1010 may show brands, categories of goods, or goods. In this example, the AA query 1000 has a format that shows different brands (e.g.,Sunny/>and->) Is included, the AA query term 1010. The AA query term 1010 may include an associated illustration, such as an image or the like. The number of AA query terms 1010 varies andand on the capabilities of the viewer device display. In embodiments, the number of AA query items 1010 may be four, six, nine, or sixteen. The AA query has two buttons 1015 and 1020. In this example, button 1015 is marked "yes, let advertisement disappear", and button 1020 is marked "no, i want commercial advertisement". In one embodiment, button 1015 uses a larger font than button 1020 to further encourage a viewer to select button 1015. The AA system periodically changes the text and format of title 1004, subtitle 1006, and buttons 1015 and 1020. For example, if the viewer has selected the "do not, i want commercial" button 1020 ten times in succession, the AA system may change the relative sizes of the two buttons 1015 and 1020 and change the title. The AA system operator may set system control parameters and specify rules for periodically changing AA queries.
The VOD distributor may want the viewer to select the appropriate number of AA query items 1010 and then click button 1015. Selecting the AA query term 1010 may cause the AA system to highlight the AA query term 1010 and generate a unique audible tone or sound. Auditory tones or sounds may provide a similar video game experience. The viewer selection may generate a series of audible tones or sounds that form a familiar tune. AA systems use AA tones and sound libraries listing possible audio tones and sounds. The AA system operator sets system control parameters and specifies rules for assigning audible tones and sounds to selectable buttons and AA query terms. The second selection of the AA query term 1010 deselects and causes the AA system to de-highlight the AA query term 1010. The AA system may highlight the AA query term 1010 in a variety of ways including: a) using standard or most common button highlighting methods on the viewer device operating system, b) making the AA query item 1010 appear to be pressed by adding shadows, c) increasing the width of the AA query item 1010 border, d) drawing additional boxes around the AA query item 1010, and e) changing the image displayed within the AA query item 1010, for example by changing from color to black and white. If the viewer selects the appropriate number of AA query terms 1010, then clicks on button 1015, the AA system replaces the displayed AA query with a login/registration display (if needed), and then shows the selected video content. In an embodiment, if the viewer selects the wrong number of AA query items 1010 and then clicks button 1015, the AA system indicates the error and continues to display AA queries. The AA system may signal the error in a variety of ways including: a) making an error sound, b) flashing the screen, c) displaying a message explaining that the viewer has selected the wrong number of AA query items. If the viewer clicks on button 1020, the AA system replaces the displayed AA query with the selected video content.
FIG. 11 is a diagram illustrating four example viewer device screenshots from an AA application, according to an embodiment. In fig. 11, a screenshot 1110 shows a title, summary, and related artwork of video content selected by a viewer. In this example, the viewer has selected a television program entitled "rated by Wolves". Screenshot 1110 also shows a button for playing video content free. In response to the viewer selecting the "now free view" button, the AA system displays an AA query in screenshot 1120. In response to the viewer selecting the appropriate number of brands and clicking on the "make advertisement disappear" button, the AA system may display the information in screenshot 1130 or screenshot 1140. If the viewer is already logged in, then the AA system need not show either screenshot 1130 or screenshot 1140. If the viewer has an existing account and has not logged in, the AA system displays the information in screenshot 1130. If the viewer does not have an existing account, the AA system displays the information in screenshot 1140. Screenshot 1130 provides an easy to use, typically single click, login screen in which the viewer's name and password are filled. Screenshot 1140 provides an easy to use registration screen allowing a viewer to log in using an existing account (such as Facebook, etc.), or specify an email address and password to log in.
FIG. 12 is a diagram illustrating an example two-level AA ranking survey according to an embodiment. In fig. 12, the AA system may first display a first level screen/window 1205 and then display a second level screen/window 1230. The first level screen/window 1205 displays AA interrogation on the viewer device. Screen/window 1205 shows four merchandise category items 1210, yes, no advertisement vanishing button 1015 and no, i want commercial advertisement button 1020. When the viewer selects the merchandise category item 1210, the AA system immediately displays the information shown in the second level screen/window 1230. In this example, the viewer selects the merchandise category item 1210 of the beverage and the AA system responds by showing three types of beverages (e.g., sunny weight 1235, powerade 1240, and Red Bull 1245) in screen/window 1230. Screen/window 1230 displays indication text 1232, ranked AA query terms 1235, 1240, and 1245, and associated ranking boxes 1250, 1255, 1260. Each ranked AA query term has its own associated ranking box.
In a first configuration, the viewer selects a ranked AA query term or any of its associated ranking boxes to indicate preferences. The first such selection may cause the AA system to select or highlight the first ranking box 1250 to indicate that the AA query term is the highest ranking term and to play an audible tone (or sound). The second AA query term selection may cause the AA system to select or highlight a second ranking box 1255 to indicate a second highest ranking AA query term and play a second audible tone (or sound). After the viewer has made two selections, the AA system may automatically fill in the appropriate third ranking box 1260 and play the third audible tone (or sound), pause for the viewer to view the final ranking, and then close the window (or revert to the previous screen display). The viewer can change his or her highest ranking selection by selecting the same AA query item selection a second time. Selecting the same AA query twice selects to cancel the selection.
In a second configuration, the viewer selects ranking boxes 1250, 1255, and 1260 to indicate the first, second, and third options. This configuration is used by the AA system when the ranking boxes 1250, 1255, and 1260 are large enough to enable the viewer to easily select them. The AA system operator controls whether the AA system uses the first configuration or the second configuration, or whether the AA system automatically selects a configuration based on the viewer device capabilities. After the viewer performs the ranking twice, the AA system may fill in the third ranking box appropriately, pause for the viewer to view the final ranking, and then automatically close the window (or resume the previous screen display). The viewer can change his or her rank by clicking on the different ranking boxes 1250, 1255, and 1260. The AA system modifies the ranking as needed to ensure that there is a first option, a second option, and a third option. For example, if the viewer selects the first option ranking box 1250 for the Sunny Delight 1235 and then selects the first option ranking box 1250 for the Powerade 1240, the AA system may change the Sunny Delight ranking from first to second or make the Sunny Delight ranking unknown.
After the viewer has completed ranking the items in the screen/window 1230, the AA system may redisplay the information in the screen/window 1205. In this example, the viewer has completed the item ranking associated with the commodity category beverage 1210. The AA system modifies the beverage 1210AA query term display to indicate completion using methods such as: a) changing the item display image from color to black and white, b) giving the item display shadow to simulate a button press, c) darkening or blurring the item display image.
After the viewer selects the appropriate number of items in the screen/window 1205 and ranks their associated items each in the screen/window 1232, the viewer may select the "yes, advertisement vanish" button 1015.
FIG. 12 provides an example of a two-level AA ranking survey according to an embodiment. AA systems may provide multiple types of AA rank surveys. The AA system may change the number of items in the first level screen/window 1205 and may change the number of items in the second level screen/window 1230. The AA system may change the type of items in the screen/window 1205 and may change the type of items in the screen/window 1230. In this example, the AA system shows generic merchandise categories in screen/window 1205 and specific brands/merchandise in screen/window 1230. Sunny Delight 1235, powerade 1240, and Red Bull 1245 represent both brands and merchandise. The AA system may support a multi-level AA rank survey, where the AA system presents more than two levels of frames/windows 1205 and 1230. More generally, the AA system may support multi-level AA interrogation, where at each screen/window level, the screen/window interrogates viewers to select or rank AA interrogation items. For example, an AA query may ask the viewer to select an item in a first screen/window and then select an item in a subsequent screen/window.
Fig. 13 is a diagram showing an example of how the AA system determines the gender or sex orientation of the viewer according to an embodiment. For example, in screen/window 1310, the AA system may display four AA query items 1320. Two of the four AA query terms 1320 represent brands, categories of goods, or goods for males, and the other two AA query terms 1320 represent brands, categories of goods, or goods for females. Male-oriented brands include, for exampleSports/>Samuel/>Etc. Female-oriented brands include, for example-> Etc. If a viewer consistently selects an AA query associated with one of the personalities, the AA system concludes the gender of that viewer. For example, if the viewer selects a female-oriented brand, category of merchandise, or merchandise more frequently than twice the frequency of the viewer selecting a male-oriented brand, category of merchandise, or merchandise, the AA system may conclude that the viewer is female. In screen/window 1330, the AA system may display AA query item 1340. Four of the nine AA query terms 1320 represent brands, categories of goods, or goods for males, while the other five AA query terms 1320 represent brands, categories of goods, or goods for females. The AA system may typically display AA challenges, where only some of these AA challenge items 1320 represent male or female orientations. If the viewer selects a combination of male and female query terms, the AA system indicates the gender of the viewer as undetermined.
FIG. 14 is a diagram illustrating an example of how an AA system may use AA to query item location according to an embodiment. Referring to FIG. 14, grids 1410 and 1450 give examples of different AA query term location configurations. For example, the grid 1410 has three rows and two columns forming a 3 x 2 matrix. On the top row of grid 1410, the AA system has a high score AA query term 1415. On the middle row of the grid 1410, the AA system has a medium score AA query term 1420. On the bottom row of grid 1410, the AA system has a low score AA query term 1425. Most viewers tend to first look at the AA query items in the top row and first select the items in the top row. The AA system uses knowledge of this location preference when assigning AA query terms to different grid locations. The AA system may place the higher scoring AA query term in the most popular location as shown in this example. The AA system can monitor viewer selections across many AA queries and determine the most popular grid location or positions. The location preference varies from culture to culture and is affected by factors such as whether the viewer reads from left to right or top to bottom. Each viewer also exhibits a different location preference, so the AA system attempts to detect the preferred grid location of each viewer. The AA system builds experiments that repeat the same AA query term at different locations. The AA system also keeps track of the order of selection. For example, in the case where the viewer selects three items, the viewer may frequently select the first item from a higher row than the second item. AA systems use different scoring methods. AA systems assign higher scores to viewer preferences or items that may be preferred. A viewer may frequently first view his or her preferred items. The AA system may assign the highest score to the item that is likely to generate the most revenue for the VOD distributor.
With continued reference to FIG. 14, grid 1450 may illustrate different types of AA interrogation items assigned to different locations. The AA system architecture includes queries for a high score AA query term 1415, a gender biased AA query term 1460, and a pseudo-random AA query term 1455. For example, an AA system may show female viewers some female-oriented brands because they are liked or likely to be liked by viewers. Alternatively, the AA system may show a male-facing brand and a female-facing brand to determine the gender or sex orientation of the viewer. In a separate AA query, the AA system shows the same male-oriented and female-oriented brands in the exchanged locations to check for positional deviations. The AA system assigns a pseudo-random AA query term to the AA query to find new viewer preferences and verify existing viewer preferences. When a new brand is added to an AA database (e.g., AA database 330 of FIG. 5), the AA system has little or no information about the brand's viewer preferences. To better understand viewer preferences for new brands and merchandise, the AA system includes the brand/merchandise as a pseudo-random AA query term. The AA system exchanges the grid locations of the pseudo-random AA query term 1455 to check for positional deviations. If the viewer consistently selects at the same grid location, regardless of the content of that grid location, the AA system concludes: the viewer is not aware of, and does not use the AA system as intended. AA systems may require the viewer to take corrective action.
AA interrogation determination
Most viewers watch multiple video content programs and receive many AA queries. AA systems can generate many different AA queries and wish to provide AA query diversity to viewers. For example, the AA system avoids showing the same AA query during the viewing session. AA systems employ different AA query generation strategies depending on how well they learn about viewer preferences. The AA system also uses a plurality of scoring metrics in generating AA queries. The AA system uses the equity scores to measure the overall popularity and revenue generation of AA query terms such as a particular brand, category of merchandise, or merchandise. The AA system also uses the viewer-item preference score to estimate the attitudes of a particular viewer for a particular AA query. Tables 1, 2 and 3 (see below) show how the scoring metrics are derived by the AA system.
FIG. 15 is a flowchart illustrating an example process of how an AA system determines a next AA inquiry according to an embodiment. Process 1500 may be performed by processing logic that comprises hardware (e.g., circuitry, dedicated logic, etc.), software (e.g., embodied on a non-transitory computer readable medium), or a combination thereof. For example, process 1500 may be performed by AA system 300 of fig. 3. Referring to FIG. 15, in operation 1510, the AA system receives a request to generate an AA inquiry. In operation 1520, the AA system may determine or test whether the system has sufficient knowledge about the viewer preferences. In one embodiment, the AA system counts the number of scorable AA query items that the viewer has a known or derived preference, and divides the number of scorable AA query items by the total number of scorable AA query items. The AA system may compare the result to a threshold (such as 40%). The AA system operator may adjust the threshold. If the percentage of scorable AA query terms is known to exceed the threshold, the AA system determines that there is sufficient knowledge of the viewer preferences and proceeds to operation 1540. If the percentage of scorable AA query terms is known not to exceed the threshold, the AA system determines that there is insufficient knowledge about the viewer's preferences and proceeds to operation 1530. In systems with new brands, categories of merchandise, and new merchandise, the AA system may be poorly informed of viewer preferences and follow the same process. In operation 1530, the AA system determines what type of AA query to create for viewers with unknown preferences. For example, the AA system may make a decision between AA query types (such as a two-level AA rank survey or a one-level AA select query, etc.). When the AA system knows little about the new viewer preference information, it may prefer to use a two-level AA rank survey because it gives more information. In an embodiment, the AA system constructs AA queries that require the viewer to select or rank AA query items that the viewer does not exhibit preference. For a two-level AA rank survey, the AA system may tend to use the most general generic commodity category in the first level. If the generic merchandise category of the first level has subcategories, the AA system may require the viewer to rank the relevant subcategories. If the generic merchandise category of the first level does not have subcategories, the AA system may require the viewer to rank the relevant brands or specific merchandise. In one embodiment, the AA system uses the information in the table to determine the sequence of AA query types. One such example is given in table 1.
TABLE 1
In the example of Table 1, if the viewer's known preferences are less than 40% of the possible or total AA interrogation items, the AA system may cycle through the list of AA interrogation types on the first row. The AA system may first query for type "type-1" using AA. The AA system may then use the AA query type "type 2" and then use the individual AA query types in the list. The AA system repeats the sequence of AA query types after it has used all AA query types in the appropriate table cells.
In operation 1535, the AA system determines or selects an AA query item to be used for the selected AA query type. AA systems may be prone to use AA query terms revealing a community and AA query terms of high interest scores. The AA system may also select a pseudo-random AA query term. If the AA system does not know the gender (or other group value) of the viewer, the AA system may also introduce an AA query to determine the gender of the viewer. These AA queries attempt to discover new viewer preference information and use predominantly AA query items that the viewer does not exhibit preference. In an embodiment, the AA system applies control rules to filter out some AA query terms (e.g., does not display a male-oriented item to a female). In one embodiment, the AA system uses a data table to indicate how many AA interrogation items of each type are to be used. For example, the data table may indicate that the AA system should use a ratio of a high-interest AA query, a determined population of AA queries, and a pseudo-random AA query for a level selection AA query. If the viewer device has a screen size that accommodates nine AA interrogation items, the AA system may choose to assign three high-interest AA interrogation items, three group-determined AA interrogation items, and three pseudo-random AA interrogation items. The AA system selects high-interest AA query terms based on their interest score and the number of times they were previously shown.
In operation 1540, the AA system determines what type of AA query to create for viewers with known preferences. AA systems may tend to use two-level AA rank surveys when viewers have a strong preference for merchandise categories. In one embodiment, the AA system uses a table (e.g., table 1 as shown above) to determine the next AA interrogation type. In operation 1545, the AA system determines AA query terms for viewers with known preferences. AA systems may be less concerned with finding the viewer's preferences, and more concerned with AA query terms that show that the viewer may like and may generate revenue. AA systems may tend to use AA query terms with high viewer-term preference scores and use only the interest score as a resolution attribute (tie-break). The AA system also uses AA query term types and pseudo-random AA query terms with favorable population attribute matches. In one embodiment, the AA system uses a data table to indicate how many AA interrogation items of each type are to be used. For example, the data table may indicate that the AA system should use a ratio of one high viewer-preference AA query, one favorable group AA query, and one pseudo-random AA query for a primary selection AA query.
After creating the AA query at operation 1535 or operation 1545, the AA system proceeds to operation 1550, where the AA system sends the requested AA query. At operation 1560, the AA system receives a response (or result) to the AA query. At operation 1565, the AA system updates the equity score and the viewer-item preference score based on the response. At operation 1570, the AA system may attempt to derive or predict unknown viewer-item preferences and benefit scores. The system control parameters control when the AA system attempts to predict the score.
Table 2 illustrates how the AA system assigns a benefit score to an AA query. The AA system keeps track of the responses of the individual viewers to the individual AA queries. In this example, the AA system keeps track of how often each AA query was viewed by the viewer, how often each AA query was selected by the viewer, and the revenue that the AA query has generated. The AA system maintains multiple scoring factors by summing the data for all viewers.
TABLE 2
In the example of Table 2, the system keeps track of how frequently AA query items are viewed, how frequently AA query items are selected, the ratio of selected to viewed, and the total revenue. The AA system derives a benefit score using a combination of these factors. In one embodiment, the AA system uses a weighted sum. In the example of Table 2, item 3 is only viewed once in the AA interrogation, so the AA system is too little information to generate a benefit value as other items. AA systems can infer a benefit value by comparing attributes of different AA query terms. For example, if item 3 belongs to the same category of merchandise as item 1, and item 1 and item 3 share other characteristics (such as similar brand company revenue), the AA system may infer that item 3 has a similar equity score.
Table 3 illustrates the viewer-preference matrix. The AA system attempts to determine viewer-item preferences for each combination of viewer and AA query items. The question mark indicates unknown preferences.
TABLE 3 Table 3
In an embodiment, the AA system assigns a viewer-item preference score based on the viewer's response to the AA query. The AA system may consider, for example, whether the viewer accepted an AA proposal associated with the AA query term, whether the viewer opened an AA proposal associated with the AA query term, whether the viewer completed a selection query and selected the AA query term, whether the viewer completed a ranking query and ranked the AA query term, whether the viewer did not complete an AA query but selected the AA query term before clicking the "no, i wanted a commercial" button, and/or whether the viewer had viewed the AA query term without selecting the AA query term. In some embodiments, the AA system may consider the number of times the viewer's response occurs, such as whether the viewer fails to select an AA query item in more than three AA queries. The AA system applies simple reasoning and machine learning to derive unknown viewer-item preference scores. The AA system can apply inferences between related AA query terms. For example, interest in boots means interest in footwear, interest in average luxury vehicles means interest in Interest in (c), etc. AA systems may also apply inferences based on video content selection. For example, viewers who prefer science fiction video content may have a common preference for merchandise.
Table 4 gives an example of how the AA system assigns viewer-preference scores. This example uses a score of 1 to 5 to indicate preference, but any different scoring range may be used. Each viewer-item combination starts with an unknown preference. A score of 1 to 5 corresponds to a viewer showing no interests (1), some interests (2), medium interests (3), active interests (4) and explicit interests (5). The AA system may of course use different scoring schemes.
In an embodiment, if the viewer fails to select the AA query term, the AA system may assign a score of one, or give the AA query term a better ranking than the last digit when the AA query term has been shown < N > times or more (where < N > is a number). The AA system may also assign a score of one if the rule disqualifies the viewer for viewing the AA query term. For example, certain advertisers may not be interested in a group of viewers (e.g., age, gender, and location). If the viewer ranks the AA query better than the last, or selects the AA query before clicking the "do not, I want the commercial" button, the AA system may assign a score of two. The AA system may also assign a score of two if the AA system is able to derive some preference for the AA query term. The AA system may assign a score using the derived viewer when the viewer has not viewed the AA query item in the AA query a sufficient number of times. The score based on the viewer response takes precedence over the derived score. If the viewer ranks the AA query in the first place in the completed AA ranking survey, or if the AA system can derive a medium or better preference for the AA query, the AA system may assign a score of three. If the viewer has selected an AA query term in the completed AA selection query, the AA system may be assigned a score of four. If the viewer has completed the AA inquiry, received the AA proposal, and opened or accepted the AA proposal, the AA system may be assigned a score of five.
AA systems typically do not reduce the known viewer-preference score, but the viewer's preferences change over time. Events such as wedding, child birth, or illness may cause a person's preferences to change significantly. The AA system may allow the viewer to change his/her population and reset his/her preferences in the user profile. In one embodiment, the AA system monitors for changes in viewer preferences and gives more priority to closer viewer activity.
TABLE 4 Table 4
Deriving viewer preferences
In one embodiment, the AA system uses well-known machine learning methods of collaborative filtering and content-based filtering. Collaborative filtering allows the AA system to find similar viewers, and content-based filtering allows the AA system to find similar AA query terms. Similar viewers (or AA query items) share a common characteristic. The AA system may use this similarity to predict viewer-preference scores. If the first AA query has similar characteristics as the second AA query, the AA system may use the viewer-item preferences of the first AA query to predict the viewer-item preferences of the second AA query.
Fig. 16 is a diagram illustrating an example viewer-preference matrix. In fig. 16, a matrix array 1610 may represent different AA query terms. Matrix row 1620 may represent different viewers. The number of viewers typically exceeds the number of AA query items. The viewer-item preference matrix 1630 may indicate preferences of individual viewers for individual query items. The viewer-preference matrix 1630 is bimodal in that it involves two entities, each of which has its own properties. Each viewer has attributes such as video content preference, location, viewing frequency, and group. The AA query has attributes such as merchandise category, income, and equity score. To reduce the storage requirements of the viewer-preference matrix 1630, the AA system stores the viewer-preference matrix as a sparse matrix, such as a scipy sparse matrix. AA systems assign zero values to unknown viewer-preference values. The sparse matrix encodes a large number of zeros to reduce memory space.
In one embodiment, the AA system uses techniques such as cosine similarity or L1/L2 norms to determine similarity. These techniques measure the distance between AA query terms (or viewers) in the hyperspace. The AA system uses the K-nearest neighbor (KNN) method to find < K > most similar AA query terms (or viewers). The AA system replaces the unknown value with a value derived from the < K > nearest neighbors. The AA system may obtain an average viewer-preference from the nearest two neighbors. In the viewer-preference assignment described in table 4, the derived preferences have a score of two or three. In this case, the AA system may compare the average viewer-preference to a threshold. The AA system may be assigned a value of three if the average value exceeds the threshold value and a value of two if the threshold value is not exceeded.
In another embodiment, the AA system uses a matrix decomposition technique. As the amount of data increases, matrix factorization provides a more scalable approach. Matrix factorization also reduces two limitations of the KNN approach, namely popularity bias and cold start problems. In a third embodiment, the AA system uses Singular Value Decomposition (SVD) to decompose the matrix.
Matrix decomposition algorithms work by decomposing the viewer-preference matrix into the product of two low-dimensional rectangular matrices. The product of the two low-dimensional rectangular matrices approximates the original viewer-preference matrix.
FIG. 17 is a diagram illustrating another example viewer-item preference matrix according to an embodiment. In an embodiment, the AA system uses low rank matrix decomposition to decompose the viewer-item preference matrix 1730 into a viewer factor matrix 1720 and an AA query item factor matrix 1710. In this example, there are m viewers and n AA query terms, so the viewer-term preference matrix 1730 has the dimension m×n. The viewer factor matrix 1720 may include r feature factors representing viewer attributes. The AA query term factor matrix 1710 may also include r feature factors representing query term attributes. The AA system finds similarities between the viewers represented in the viewer factor matrix 1720 and then uses the similarities to populate the viewer-item preference matrix 1730.AA systems use techniques such as cosine similarity or Mean Square Error (MSE) to find similarity.
The matrix decomposition is a form of optimization process whose purpose is to approximate the original matrix R with two matrices U and P, so as to minimize the following cost function:
J＝||R–U x P T || 2 +L(||U||2+||P|| 2 )
the first term in the cost function is the original rating matrix R and its approximation UxP T A Mean Square Error (MSE) distance measure between. The second term L is called a "regularization term" and is added to control the generalized solution (to prevent the effect of overfitting to some local noise on the rating).
Gradient descent and Alternating Least Squares (ALS) are well known iterative machine learning techniques for minimizing cost functions.
In one embodiment, the AA system uses Spark. Spark is a new industry standard distributed batch framework for general cluster computing. A machine learning library (MLlib) is built on top of Spark to utilize the Spark's functionality when running an iterative machine learning algorithm.
All examples and conditional language recited herein are intended for pedagogical purposes to aid the reader in understanding the principles of the invention and the concepts contributed by the inventor to furthering the art, and are to be construed as being without limitation to such specifically recited examples and conditions. Moreover, all statements herein reciting principles, aspects, and embodiments of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof. Furthermore, such equivalents are intended to include both currently known equivalents as well as equivalents developed in the future (e.g., any elements developed that perform the same function, regardless of structure).
Note that some or all of the components shown and described above may be implemented in software, hardware, or a combination thereof. For example, such components may be implemented as software installed and stored in persistent storage, which may be loaded and executed in memory by a processor (not shown) to perform the processes or operations described throughout this application. Alternatively, such components may be implemented as executable code programmed or embedded in special purpose hardware, such as an integrated circuit (e.g., an application specific IC or ASIC), a Digital Signal Processor (DSP), or a Field Programmable Gate Array (FPGA), etc., which may be accessed from an application via a corresponding driver and/or operating system. Further, such components may be implemented as specific hardware logic in a processor or processor core as part of an instruction set accessible by a software component via one or more specific instructions.
Some portions of the preceding detailed description have been presented in terms of algorithms and symbolic representations of operations on data bits within a computer memory. These algorithmic descriptions and representations are the means used by those skilled in the data processing arts to most effectively convey the substance of their work to others skilled in the art. An algorithm is here, and generally, considered to be a self-consistent sequence of operations leading to a desired result. The operations are those requiring physical manipulations of physical quantities.
It should be borne in mind, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities. Unless specifically stated otherwise as apparent from the above discussion, it is appreciated that throughout the description, discussions utilizing terms such as those set forth in the claims below, refer to the action and processes of a computer system, or similar electronic computing device, that manipulates and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices.
Embodiments of the present invention also relate to apparatus for performing the operations herein. Such a computer program is stored in a non-transitory computer readable medium. A machine-readable medium includes any mechanism for storing information in a form readable by a machine (e.g., a computer). For example, a machine-readable (e.g., computer-readable) medium includes a machine (e.g., computer) readable storage medium (e.g., read only memory ("ROM"), random access memory ("RAM"), magnetic disk storage medium, optical storage medium, flash memory device).
The processes or methods described in the foregoing figures may be performed by processing logic that comprises hardware (e.g., circuitry, dedicated logic, etc.), software (e.g., embodied on a non-transitory computer readable medium), or a combination of both. Although processes or methods are described above in terms of some sequence operations, it should be understood that some of the operations described may be performed in a different order. Moreover, some operations may be performed in parallel rather than sequentially.
Embodiments of the present invention are not described with reference to any particular programming language. It will be appreciated that a variety of programming languages may be used to implement the teachings of embodiments of the invention as described herein.
The foregoing descriptions of various specific embodiments according to the present invention have been presented for purposes of illustration and description. These embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed, and many modifications and variations are possible in light of the above teaching. The invention is to be interpreted according to the claims and their equivalents.
Claims (76)
1. A computer-implemented method of providing video content, the method comprising:
receiving a request from a viewer to view video content;
in response to the request, determining whether the viewer has advertising-free rights to view the video content;
in response to determining that the viewer does not have the advertisement-free rights to view the video content, preparing an alternative advertisement query, AA query, based on query rules, and presenting the AA query to the viewer;
receiving an AA query response to the AA query from the viewer;
in response to determining that the AA inquiry response is a first response, determining one or more AA offers to send and sending the one or more AA offers to the viewer; and
the requested video content is streamed to the viewer device of the viewer without the advertisement.
2. The method according to claim 1,
further comprises: in response to determining that the AA query response is the first response,
determining or confirming a viewer identity of the viewer; and
determining whether to generate the one or more AA offers;
wherein determining one or more AA offers to send and sending the one or more AA offers to the viewer comprises: in response to determining that the one or more AA offers are to be generated, determining the one or more AA offers to send and sending the one or more AA offers to the viewer.
3. The method of claim 1, further comprising:
in response to determining that the AA query response is a second response, streaming the requested video content to a viewer device of the viewer along with the advertisement.
4. The method of claim 1, further comprising:
maintaining a viewer profile of the viewer and a viewer history of the viewer;
receiving a notification if the viewer opens the one or more AA offers, views the one or more AA offers, or accepts the one or more AA offers; and
In the event that the viewer has viewed and accepted the one or more AA offers, a bonus point or bonus coin is assigned to the viewer.
5. The method of claim 1, wherein streaming the requested video content to the viewer device of the viewer without an advertisement comprises:
the requested video content is streamed from the content database to the viewer's viewer device without advertisements or directly from the content partner.
6. A method according to claim 3, further comprising:
receiving the advertisement for insertion into the requested video content; and
the advertisement is inserted into the requested video content.
7. The method of claim 6, further comprising:
maintaining a record of the fee charged for the advertisement;
creating a financial report; and
financial trends are tracked.
8. The method of claim 1, further comprising:
the viewer's preferences for video content, AA query terms, and AA offers are predicted.
9. The method of claim 4, further comprising:
processing the received notification and the bonus points or the bonus money allocated to the viewer.
10. A method according to claim 3, further comprising: updating a viewer profile of the viewer and a viewer history of the viewer;
wherein,
the viewer profile includes viewer attributes; and
the viewer history includes at least one of: (i) AA query responses from the viewer, (ii) AA offers sent to, viewed and accepted by the viewer, (iii) video content requested and viewed by the viewer, and (iv) preferences of the viewer for specific AA query items and video content.
11. A method according to claim 3, wherein the AA query comprises at least one of:
a query asking the viewer if he wishes to view the requested video content without advertising,
a query asking the viewer to select between AA query items or rank AA query items,
a query for information about the viewer
A query for information to infer viewer attributes and preferences is required.
12. The method of claim 1, wherein determining the one or more AA offers to send comprises:
determining the one or more AA offers to send based on at least one of: viewer history, branding rules and control data for the viewer, and preferences of the video on demand publisher, i.e., VOD publisher, for AA offers that increase revenue for the VOD publisher.
13. The method of claim 1, wherein the one or more AA offers are sent to the viewer using a delivery channel selected by the viewer.
14. The method of claim 1, wherein the one or more AA offers include a promotion code, a discount, or a network link to other AA offers.
15. The method of claim 1, further comprising: using a plurality of application programming interface libraries, or API libraries, to communicate with AA applications running on the viewer device, wherein the API libraries comprise at least one of: AA application APIs, content APIs, transaction APIs, and data and analysis APIs.
16. The method of claim 1, wherein the one or more AA offers are determined based on control data, wherein the control data comprises at least one of:
the length of time that the viewer is able to view the requested video content without advertising;
repeating transmitting the same one or more AA proposals a number of times;
a consecutive number of times the viewer enters a particular AA query response before providing exit information to the viewer;
the viewer entering a succession of times the particular AA query response before changing AA query titles and subtitles; and
The viewer fails to open the one or more AA proposals a consecutive number of times before providing the exit information to the viewer.
17. A system, comprising:
one or more processors; and
a memory coupled to the one or more processors to store instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
receiving a request from a viewer to view video content;
in response to the request, determining whether the viewer has advertising-free rights to view the video content;
in response to determining that the viewer does not have the advertisement-free rights to view the video content, preparing an alternative advertisement query, AA query, based on query rules, and presenting the AA query to the viewer;
receiving an AA query response to the AA query from the viewer;
in response to determining that the AA inquiry response is a first response, determining one or more AA offers to send and sending the one or more AA offers to the viewer; and
the requested video content is streamed to the viewer device of the viewer without the advertisement.
18. The system of claim 17, wherein,
the operations further comprise: in response to determining that the AA query response is the first response,
determining or confirming a viewer identity of the viewer; and
determining whether to generate the one or more AA offers;
determining one or more AA offers to send and sending the one or more AA offers to the viewer includes: in response to determining that the one or more AA offers are to be generated, determining the one or more AA offers to send and sending the one or more AA offers to the viewer.
19. The system of claim 17, wherein the operations further comprise:
in response to determining that the AA query response is a second response, streaming the requested video content to a viewer device of the viewer along with the advertisement.
20. The system of claim 17, wherein the operations further comprise:
maintaining a viewer profile of the viewer and a viewer history of the viewer;
receiving a notification if the viewer opens the one or more AA offers, views the one or more AA offers, or accepts the one or more AA offers; and
In the event that the viewer has viewed and accepted the one or more AA offers, a bonus point or bonus coin is assigned to the viewer.
21. A computer-implemented method for enabling a user to interact with digital content, the method comprising:
receiving a request from a user to view and interact with the digital content;
in response to the request, determining whether the user has advertising-free rights to view and interact with the digital content;
in response to determining that the user does not have the advertisement-free rights to view and interact with the digital content, preparing an alternative advertisement query, AA query, based on query rules, and presenting the AA query to the user;
receiving an AA query response to the AA query from the user;
responsive to determining that the AA query response is a first response, determining one or more AA offers to send and sending the one or more AA offers to the user; and
the requested digital content is provided to the user device of the user without advertising for the allowed period of time.
22. The method of claim 21, wherein the user device is a video game console, a smart phone, a laptop, a desktop or tablet computer, or any portable viewing device.
23. The method according to claim 21, wherein:
the method further comprises the steps of: responsive to determining that the AA query response is the first response, determining or confirming a user identity of the user; and determining whether to generate the one or more AA offers;
determining one or more AA offers to send and sending the one or more AA offers to the user includes: in response to determining that the one or more AA offers are to be generated, determining the one or more AA offers to send and sending the one or more AA offers to the user.
24. The method of claim 21, further comprising:
in response to determining that the AA query response is a second response, the requested digital content is provided with the advertisement to a user device of the user.
25. The method of claim 21, wherein providing the requested digital content to the user device of the user without an advertisement comprises: the requested digital content is provided to the user's user device from a content database without advertisements or directly from a content partner.
26. The method of claim 24, further comprising:
receiving the advertisement for insertion into the requested digital content; and
the advertisement is inserted into the requested digital content.
27. A method, comprising:
at an electronic device in communication with an input device and a display:
causing the display to display a first graphical user interface, the first graphical user interface comprising: a plurality of selectable alternative advertisement query terms, a plurality of selectable AA query terms, a first graphical user interface element for accepting a proposal to view ad hoc content, and a second graphical user interface element for rejecting the proposal to view ad hoc content;
determining, in response to detecting a viewer selection of the first graphical user interface element with the input device, whether the viewer has logged in; and
in response to determining that the viewer has not logged in, causing the display to display a second graphical user interface comprising graphical user interface elements for the viewer to log in or register.
28. The method of claim 27, wherein,
the method further comprises the steps of: before causing the display to display the first graphical user interface, causing the display to display a third graphical user interface comprising graphical user interface elements for playing free video content and at least one of: a title, summary, and related artwork associated with the free video content;
Causing the display to display the first graphical user interface includes: in response to detecting selection of a graphical user interface element for playing the free video content using the input device, causing the display to display the first graphical user interface.
29. The method of claim 27, further comprising:
in response to detecting, with the input device, selection of an AA query item from the plurality of selectable AA query items, the display is caused to display a third graphical user interface comprising ranked AA query items and respective ranking graphical user interface elements associated with each of the ranked AA query items.
30. The method of claim 29, further comprising:
in response to detecting with the input device selection of a ranking graphical user interface element for each ranked AA query term,
suspending display of the third graphical user interface
Automatically closing the display of the third graphical user interface.
31. The method of claim 29, further comprising:
automatically selecting a ranking graphical user interface element for the ranked AA query terms; and
Automatically closing the display of the third graphical user interface.
32. The method of claim 30, further comprising:
again causing the display to display the first graphical user interface; and
the display of the selected AA query term is modified to indicate completion of the ranking associated with the selected AA query term.
33. The method of claim 31, further comprising:
again causing the display to display the first graphical user interface; and
the display of the selected AA query term is modified to indicate completion of the ranking associated with the selected AA query term.
34. The method of claim 27, further comprising:
in response to detecting some selections of the plurality of selectable AA query items using the input device, a viewer attribute of the viewer is determined.
35. The method of claim 27, wherein causing the display to display the first graphical user interface comprises: causing the display to display the plurality of selectable AA query items in an AA query item positioning configuration based on AA query item location preferences of the viewer.
36. The method of claim 29, further comprising: in response to detecting selection of the AA query term from the plurality of selectable AA query terms, causing an audible tone to be generated.
37. The method of claim 27, wherein,
the first graphical user interface further comprises a title and a subtitle;
the method further comprises the steps of: the text and format of the title, the subtitle, the first graphical user interface element, and the second graphical user interface element are periodically changed based on one or more viewer inputs of the viewer.
38. An apparatus, comprising:
one or more processors; and
a memory coupled to the one or more processors to store instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
causing display of a first graphical user interface, the first graphical user interface comprising: a plurality of selectable alternative advertisement query terms, AA query terms, a first graphical user interface element for accepting a proposal to view ad hoc content, and a second graphical user interface element for rejecting the proposal to view ad hoc content;
in response to detecting a viewer selection of the first graphical user interface element, determining whether the viewer has logged in; and
In response to determining that the viewer has not logged in, causing display of a second graphical user interface comprising graphical user interface elements for the viewer to log in or register.
39. The apparatus of claim 38, wherein,
the operations further comprise: causing display of a third graphical user interface prior to causing display of the first graphical user interface, the third graphical user interface comprising graphical user interface elements for playing free video content and at least one of: a title, summary, and related artwork associated with the free video content;
causing display of the first graphical user interface includes: in response to detecting selection of a graphical user interface element for playing the free video content, causing display of the first graphical user interface.
40. The apparatus of claim 38, wherein the operations further comprise:
in response to detecting selection of an AA query item from the plurality of selectable AA query items, causing display of a third graphical user interface comprising ranked AA query items and respective ranking graphical user interface elements associated with each of the ranked AA query items.
41. The apparatus of claim 40, wherein the operations further comprise:
in response to detecting selection of the ranking graphical user interface element of each ranked AA query term,
suspending display of the third graphical user interface
Automatically closing the display of the third graphical user interface.
42. The apparatus of claim 40, wherein the operations further comprise:
automatically selecting a ranking graphical user interface element for the ranked AA query terms; and
automatically closing the display of the third graphical user interface.
43. The apparatus of claim 41, wherein the operations further comprise:
again causing display of the first graphical user interface; and
the display of the selected AA query term is modified to indicate completion of the ranking associated with the selected AA query term.
44. The apparatus of claim 42, wherein the operations further comprise:
again causing display of the first graphical user interface; and
the display of the selected AA query term is modified to indicate completion of the ranking associated with the selected AA query term.
45. The apparatus of claim 38, wherein the operations further comprise:
In response to detecting some selections of the plurality of selectable AA query items, determining a viewer attribute of the viewer.
46. The device of claim 38, wherein causing display of the first graphical user interface comprises: the display of the plurality of selectable AA query terms is caused with an AA query term locating configuration that is based on AA query term location preferences of the viewer.
47. The apparatus of claim 40, wherein the operations further comprise:
in response to detecting selection of the AA query term from the plurality of selectable AA query terms, causing generation of an audible tone.
48. The apparatus of claim 38, wherein,
the first graphical user interface further comprises a title and a subtitle;
the operations further comprise: the text and format of the title, the subtitle, the first graphical user interface element, and the second graphical user interface element are periodically changed based on one or more viewer inputs of the viewer.
49. A computer-implemented method for an alternative advertising system, AA system, of providing AA query terms, the method comprising:
receiving a request to generate an AA query;
In response to the request, determining whether a percentage of the scorable AA query terms for which the viewer has a known or derived preference exceeds a threshold, wherein each scorable AA query term has an assigned benefit score and an assigned viewer-term preference number;
in response to determining that the percentage of scorable AA query items exceeds the threshold, determining one or more first AA query types to be created for the viewer;
sending the requested AA query;
receiving a response to the transmitted AA query; and
the method further includes updating the equity scores and viewer-item preference scores of a plurality of total scorable AA query terms based on the responses, wherein the total scorable AA query terms include scorable AA query terms for which the viewer has known or derived preferences.
50. The method of claim 49, further comprising:
in response to determining that the percentage of scorable AA query items does not exceed the threshold, one or more second AA query types to be created for the viewer are determined.
51. The method of claim 49, wherein the one or more first AA query types are determined based on at least one of:
The scorable AA asks for viewer-item preference scores for items,
group attributes of the scorable AA query term
At least one pseudo random AA challenge item.
52. The method of claim 50, wherein the one or more second AA query types are determined based on at least one of:
the equity score of the scorable AA query,
the scorable AA queries the population properties of items,
at least one pseudo-random AA challenge item,
viewer preference information of the viewer
Bidding rules.
53. The method of claim 49, further comprising:
determining the percentage of scorable AA query terms for which the viewer has a known or derived preference comprises:
counting the number of scorable AA query terms for which the viewer has a known or derived preference, an
Dividing the counted number of scorable AA query terms for which the viewer has a known or derived preference by the total number of scorable AA query terms.
54. The method of claim 49, further comprising:
based on the control parameters, a benefit score and a viewer-item preference score are derived or predicted, respectively, for each AA query having an unknown benefit score and a viewer-item preference score.
55. The method of claim 54 wherein deriving or predicting the equity score and the viewer-item preference score, respectively, for each AA query having an unknown equity score and a viewer-item preference score comprises:
assigning the benefit score to the AA query term based on at least one of: the frequency with which the viewer has viewed the AA query, the frequency with which the viewer has selected the AA query, the ratio of AA query selected to AA query viewed, and the amount of revenue that the AA query has generated, an
The viewer-item preference score is assigned to the AA query based at least on the viewer's response to the AA query.
56. The method of claim 55, wherein the viewer's response to the AA query comprises at least one of:
whether the viewer has accepted an AA proposal associated with the AA query term,
whether the viewer has opened an AA proposal associated with the AA query term,
whether the viewer has completed the selection query and selected the AA query item,
whether the viewer has completed the ranking query and ranked the AA query terms,
Before selecting a graphical user interface element for rejecting AA suggestions for viewing ad-free content, whether the viewer did not complete an AA inquiry but selected the AA inquiry item, an
Whether the viewer has viewed the AA query without selecting the AA query.
57. The method of claim 55, wherein the assignment of the viewer-item preference score to the AA query is further based on a number of times that a particular response of the viewer has occurred.
58. The method of claim 55, wherein the assigning of the viewer-item preference score to the AA query comprises:
assigning a first viewer-item preference score if the rule disqualifies the viewer for viewing the AA query; or alternatively
Assigning a second viewer-item preference score if the viewer has selected the AA query item or has ranked the AA query item better than last prior to selecting a graphical user interface element for rejecting AA offers for viewing ad-free content; or alternatively
Assigning a second viewer-item preference score based on the viewer's first derived preference for the AA query item; or alternatively
Assigning a third viewer-item preference score if the viewer has ranked the AA query term first in a completed AA ranking survey; or alternatively
Assigning the third viewer-item preference score based on the viewer's second derived preference for the AA query; or alternatively
Assigning a fourth viewer-item preference score if the viewer has selected the AA query in a completed AA selection query; or alternatively
In the event that the viewer has completed the AA query, received the AA proposal, and opened or accepted the AA proposal, a fifth viewer-preference score is assigned.
59. The method of claim 50, wherein the one or more first AA query types and the one or more second AA query types to be created for the viewer are each determined based on a data table.
60. The method of claim 54 wherein deriving or predicting the equity score and the viewer-item preference score for each AA query having an unknown equity score and a viewer-item preference score comprises:
the viewer-item preference score of another AA query is used to derive the viewer-item preference score of that AA query.
61. The method of claim 55 wherein the viewer-item preference score is assigned to the AA query based on a viewer-item preference matrix indicating preferences of the viewer for each of the total scorable AA queries.
62. The method of claim 61 wherein the viewer-item preference score is assigned to the AA query by cosine similarity, L1/L2 norm, matrix decomposition, or singular value decomposition, SVD, of the viewer-item preference matrix.
63. A system, comprising:
one or more processors; and
a memory coupled to the one or more processors to store instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
receiving a request to generate an AA query;
in response to the request, determining whether a percentage of the scorable AA query terms for which the viewer has a known or derived preference exceeds a threshold, wherein each scorable AA query term has an assigned benefit score and an assigned viewer-term preference score;
In response to determining that the percentage of scorable AA query items exceeds the threshold, determining one or more first AA query types to be created for the viewer;
sending the requested AA query;
receiving a response to the transmitted AA query; and
the method further includes updating the equity scores and viewer-item preference scores of a plurality of total scorable AA query terms based on the responses, wherein the total scorable AA query terms include scorable AA query terms for which the viewer has known or derived preferences.
64. The system of claim 63, wherein the operations further comprise:
in response to determining that the percentage of scorable AA query items does not exceed the threshold, one or more second AA query types to be created for the viewer are determined.
65. The system of claim 63, wherein the one or more first AA query types are determined based on at least one of:
the scorable AA asks for viewer-item preference scores for items,
group attributes of the scorable AA query term
At least one pseudo random AA challenge item.
66. The system of claim 64, wherein the one or more second AA query types are determined based on at least one of:
The equity score of the scorable AA query,
the scorable AA queries the population properties of items,
at least one pseudo-random AA challenge item,
viewer preference information of the viewer
Bidding rules.
67. The system of claim 63, wherein the operations further comprise:
determining the percentage of scorable AA query terms for which the viewer has a known or derived preference comprises:
counting the number of scorable AA query terms for which the viewer has a known or derived preference, an
Dividing the counted number of scorable AA query terms for which the viewer has a known or derived preference by the total number of scorable AA query terms.
68. The system of claim 63, wherein the operations further comprise:
based on the control parameters, a benefit score and a viewer-item preference score are derived or predicted, respectively, for each AA query having an unknown benefit score and a viewer-item preference score.
69. The system of claim 68 wherein deriving or predicting the equity score and the viewer-item preference score for each AA query having an unknown equity score and a viewer-item preference score, respectively, comprises:
Assigning the benefit score to the AA query term based on at least one of: the frequency with which the viewer has viewed the AA query, the frequency with which the viewer has selected the AA query, the ratio of AA query selected to AA query viewed, and the amount of revenue that the AA query has generated, an
The viewer-item preference score is assigned to the AA query based at least on the viewer's response to the AA query.
70. The system of claim 69, wherein the viewer's response to the AA query comprises at least one of:
whether the viewer has accepted an AA proposal associated with the AA query term,
whether the viewer has opened an AA proposal associated with the AA query term,
whether the viewer has completed the selection query and selected the AA query item,
whether the viewer has completed the ranking query and ranked the AA query terms,
before selecting a graphical user interface element for rejecting AA suggestions for viewing ad-free content, whether the viewer did not complete an AA inquiry but selected the AA inquiry item, an
Whether the viewer has viewed the AA query without selecting the AA query.
71. The system of claim 69, wherein the assignment of the viewer-item preference score to the AA query is further based on a number of times that a particular response of the viewer has occurred.
72. The system of claim 69, wherein the assignment of the viewer-item preference score to the AA query comprises:
assigning a first viewer-item preference score if the rule disqualifies the viewer for viewing the AA query; or alternatively
Assigning a second viewer-item preference score if the viewer has selected the AA query item or has ranked the AA query item better than last prior to selecting a graphical user interface element for rejecting AA offers for viewing ad-free content; or alternatively
Assigning a second viewer-item preference score based on the viewer's first derived preference for the AA query item; or alternatively
Assigning a third viewer-item preference score if the viewer has ranked the AA query term first in a completed AA ranking survey; or alternatively
Assigning the third viewer-item preference score based on the viewer's second derived preference for the AA query; or alternatively
Assigning a fourth viewer-item preference score if the viewer has selected the AA query in a completed AA selection query; or alternatively
In the event that the viewer has completed the AA query, received the AA proposal, and opened or accepted the AA proposal, a fifth viewer-preference score is assigned.
73. The system of claim 64, wherein the one or more first AA query types and the one or more second AA query types to be created for the viewer are each determined based on a data table.
74. The system of claim 68 wherein deriving or predicting the equity score and the viewer-item preference score for each AA query having an unknown equity score and a viewer-item preference score comprises:
the viewer-item preference score of another AA query is used to derive the viewer-item preference score of that AA query.
75. The system of claim 69 wherein the viewer-item preference scores are assigned to the AA query based on a viewer-item preference matrix indicating preferences of the viewer for each of the total scorable AA query.
76. The system of claim 75 wherein the viewer-item preference scores are assigned to the AA query items by performing cosine similarity, L1/L2 norms, matrix decomposition, or singular value decomposition, SVD, on the viewer-item preference matrix.
Applications Claiming Priority (6)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US63/214,191 | 2021-06-23 | ||
| US17/449,756 | 2021-10-01 | ||
| US17/449,741 | 2021-10-01 | ||
| US17/449,756 US20230005018A1 (en) | 2021-06-23 | 2021-10-01 | Systems and Methods of Providing Alternative Advert (AA) Query Items and AA Offers for an AA System |
| US17/449,743 | 2021-10-01 | ||
| PCT/US2022/033826 WO2022271529A2 (en) | 2021-06-23 | 2022-06-16 | Systems and methods for alternative adverts |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117546459A true CN117546459A (en) | 2024-02-09 |
Family
ID=89794388
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202280044848.7A Pending CN117546459A (en) | 2021-06-23 | 2022-06-16 | System and method for alternative advertising |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117546459A (en) |
-
2022
- 2022-06-16 CN CN202280044848.7A patent/CN117546459A/en active Pending
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