WO2013149430A1 - 属性设置方法及装置 - Google Patents

属性设置方法及装置 Download PDF

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Publication number
WO2013149430A1
WO2013149430A1 PCT/CN2012/076339 CN2012076339W WO2013149430A1 WO 2013149430 A1 WO2013149430 A1 WO 2013149430A1 CN 2012076339 W CN2012076339 W CN 2012076339W WO 2013149430 A1 WO2013149430 A1 WO 2013149430A1
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WO
WIPO (PCT)
Prior art keywords
program
iptv
user
product
item
Prior art date
Application number
PCT/CN2012/076339
Other languages
English (en)
French (fr)
Inventor
孙仁峰
李明
徐林
孔德春
Original Assignee
中兴通讯股份有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 中兴通讯股份有限公司 filed Critical 中兴通讯股份有限公司
Priority to EP12873647.7A priority Critical patent/EP2835979A4/en
Priority to US14/389,472 priority patent/US20150058874A1/en
Publication of WO2013149430A1 publication Critical patent/WO2013149430A1/zh

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0641—Shopping interfaces
    • G06Q30/0643—Graphical representation of items or shoppers
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0623—Item investigation
    • G06Q30/0625—Directed, with specific intent or strategy
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/254—Management at additional data server, e.g. shopping server, rights management server
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • H04N21/25891—Management of end-user data being end-user preferences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
    • H04N21/2668—Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213—Monitoring of end-user related data
    • H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
    • H04N21/44224—Monitoring of user activity on external systems, e.g. Internet browsing
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
    • H04N21/47815—Electronic shopping
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/60—Network structure or processes for video distribution between server and client or between remote clients; Control signalling between clients, server and network components; Transmission of management data between server and client, e.g. sending from server to client commands for recording incoming content stream; Communication details between server and client 
    • H04N21/63—Control signaling related to video distribution between client, server and network components; Network processes for video distribution between server and clients or between remote clients, e.g. transmitting basic layer and enhancement layers over different transmission paths, setting up a peer-to-peer communication via Internet between remote STB's; Communication protocols; Addressing
    • H04N21/643—Communication protocols
    • H04N21/64322—IP
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81—Monomedia components thereof
    • H04N21/812—Monomedia components thereof involving advertisement data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/84—Generation or processing of descriptive data, e.g. content descriptors
    • H04N21/8405—Generation or processing of descriptive data, e.g. content descriptors represented by keywords
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
    • H04N21/4312—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
    • H04N21/4316—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations for displaying supplemental content in a region of the screen, e.g. an advertisement in a separate window

Definitions

  • IPTV is an interactive network television, which is a new technology that utilizes a broadband cable television network to integrate various technologies such as Internet, multimedia, and communication, and provides various interactive services including digital television to home users.
  • IPTV a variety of value-added services can be provided, one of which is an important value-added service: IPTV online store system, which can provide sales of various commodities through IPTV, for example, physical items (refrigerators, washing machines, sportswear, food, etc.) , digital HD program packages, applications or services running in set-top boxes.
  • IPTV online store system which can provide sales of various commodities through IPTV, for example, physical items (refrigerators, washing machines, sportswear, food, etc.) , digital HD program packages, applications or services running in set-top boxes.
  • IPTV online store system which can provide sales of various commodities through IPTV, for example, physical items (refrigerators, washing machines, sportswear, food, etc.) , digital HD program packages, applications or services running in set-top boxes.
  • One type of user exhibits consistent product content, and no recommended products.
  • the other is in the product recommendation, there is no personalized product recommendation that meets the user's consumption habits and hobbies.
  • Embodiments of the present invention provide an attribute setting method and apparatus, to at least solve the problems caused by the same recommendation in the related art for all users in an IPTV product system.
  • an attribute setting method including: analyzing and counting, by selecting, playing, by a user, one or more program sources through an IPTV program playing system; determining, according to analysis and statistical results, the user's attention a program identifier corresponding to the program source, acquiring the product corresponding to the program identifier in the IPTV product system; setting the product attribute of the product, wherein the set product attribute is used to indicate that the product is displayed in the IPTV product system The way.
  • acquiring the product corresponding to the program identifier in the IPTV product system comprises: updating the product in the IPTV product system; acquiring an update corresponding to the program identifier in the IPTV product system After the goods.
  • acquiring the merchandise corresponding to the program identifier in the IPTV merchandise system comprises: setting a merchandise identifier for each merchandise in the IPTV merchandise system; according to the program identifier, and the program identifier and the Corresponding relationship of the product identifiers, the goods in the IPTV product system are obtained.
  • analyzing and counting the playing time of the user playing one or more program sources through the IPTV program playing system comprises: setting a predetermined analysis and statistics time; and passing the IPTV to the user in the predetermined analysis and statistical time
  • the program play system plays the play time of the one or more program sources for analysis and statistics.
  • the analyzing and counting, by the user, selecting to play one or more program sources through the IPTV program playing system comprising: selecting, by the IPTV program playing system, playing time of playing one or more program sources Performing analysis and statistics; or analyzing and counting the number of times the user selects to play one or more program sources through the IPTV program playing system.
  • the product corresponding to the program identifier in the IPTV product system is obtained by at least one of: searching by using the program identifier as a keyword; by using the type of the program identifier and the type of the product The match between.
  • an attribute setting apparatus including: an analysis and statistics module, configured to perform analysis and statistics on a user to select one or more program sources through an IPTV program playing system; And determining, according to the analysis and the statistical result, the program identifier corresponding to the program source that the user is interested in, acquiring the product corresponding to the program identifier in the IPTV product system; and the first setting module, configured to set the commodity of the product An attribute, wherein the set of the item attributes is used to indicate a manner of displaying an item in the IPTV item system.
  • the analysis and statistics module is configured to analyze and count the play time of the user selecting to play one or more program sources through the IPTV program play system; or, pass the IPTV program to the user.
  • the playback system selects to play the number of plays of one or more program sources for analysis and statistics.
  • the obtaining module includes: an updating module, configured to update the product in the IPTV product system; and a second acquiring module, configured to acquire an update corresponding to the program identifier in the IPTV product system After the goods.
  • the analysis and statistics module includes: a second setting module configured to set a predetermined analysis and statistics time; a second analysis and statistics module configured to pass the user to the user during the predetermined analysis and statistical time
  • the IPTV program playing system plays the playing time of the one or more program sources for analysis and statistics.
  • the user is selected to play one or more program sources through the IPTV program playing system for analysis and statistics; and the program identifier corresponding to the program source that the user is interested in is determined according to the analysis and the statistical result, and the program identifier is obtained.
  • FIG. 2 is a structural block diagram of an attribute setting apparatus according to an embodiment of the present invention
  • FIG. 3 is an attribute setting apparatus according to an embodiment of the present invention.
  • FIG. 4 is a structural block diagram of a preferred analysis and statistics module in an attribute setting apparatus according to an embodiment of the present invention;
  • FIG. 5 is an IPTV for personalized recommendation according to a user viewing habit according to an embodiment of the present invention;
  • FIG. 6 is a flow chart for personalized recommendation according to a user's viewing habit according to an embodiment of the present invention.
  • FIG. 1 is a flowchart of a method for setting an attribute according to an embodiment of the present invention. As shown in FIG. 1, the method includes the following steps: Step S102: The user selects and plays one or more program sources through the IPTV program playing system to perform analysis and statistics. Step S104: Determine, according to the analysis and the statistical result, the program identifier corresponding to the program source that the user is interested in, and obtain the program identifier in the IPTV product system.
  • Step S106 setting the item attribute of the item, wherein the item attribute set is used to indicate the manner in which the item is displayed in the IPTV item system.
  • the program identifier corresponding to the program source that the user is interested in is obtained through the foregoing steps, and the corresponding products in the IPTV product system are obtained according to the program identifier, and the attributes of the products are set, because the products are based on the user's attention.
  • the program source is obtained, so that the products are more likely to conform to the user's consumption habits, hobbies or purchase trends, and since the program sources of different users are not necessarily the same, the user sets the product attributes obtained by the different users.
  • the products are not necessarily the same, and the related art is solved.
  • the problem caused by the same recommendation of all users in the IPTV merchandise system realizes personalized service for different users and improves the user experience.
  • the product attributes of the product there are many ways to set the product attributes of the product, as long as the products can be differentiated from other products, and the personalized service to the user can be realized.
  • the priority of these items can be set so that the items in the IPTV product system can be displayed preferentially when displaying the items in the IPTV product system; or the recommended item column can be set in a position where the browsing window is more conspicuous.
  • the product attributes of the product display these items in the recommended item column; you can also enlarge the fonts displayed by these products, enlarge the picture, etc., and do not list them here.
  • the product recommended by the user is more likely to meet the needs of the user.
  • the product in the IPTV product system may be updated before the product corresponding to the program identifier is acquired. Obtaining the updated product corresponding to the program identification in the IPTV product system. In this way, the products recommended for the user can be made up-to-date, further enhancing the user experience. In the implementation process, there are many ways to obtain the products corresponding to the program identification in the IPTV product system.
  • the product identifier may be set for each product in the IPTV product system; and the product in the IPTV product system is obtained according to the program identifier and the correspondence between the program identifier and the product identifier.
  • the corresponding relationship may be that the product identifier is included in the type of the program identifier, and the product identifier may be the same as the program identifier, and the product identifier may be part of the program identifier, or may be the product identifier and the program identifier.
  • the product corresponding to the program identifier in the IPTV product system may be acquired without using the product identifier for the product.
  • the program identifier may be used as a keyword for searching, and the searched product is identified as the program identifier.
  • the product corresponding to the IPTV product system may be a product name, a product summary, a product description, etc.; and the program identification may be obtained in the IPTV product system by matching the type of the program identification with the type of the product.
  • the corresponding item for example, if the program is identified as a game, the item of the item type of card, software, entertainment, or the like can be used as the matching item.
  • predetermined analysis and statistical time may be set in step S102; playing time of playing one or more program sources by the user through the IPTV program playing system is analyzed in a predetermined analysis and statistical time; statistics. For example, the playback time of the user playing one or more program sources in the last three days can be analyzed and counted. In this way, the user's recent preference for the program can be obtained, thereby obtaining the user's recent purchase trend, further improving the user experience, and thereby improving the marketing effect of the product.
  • step S102 there are many ways for the user to select and play one or more program sources through the IPTV program playing system for analysis and statistics.
  • the user can select one or more program sources to be played by the IPTV program playing system.
  • the playing time is analyzed and counted; or, the number of times the user selects to play one or more program sources through the IPTV program playing system may be analyzed and counted.
  • the two can also be combined for analysis and statistics.
  • the program source of the user's attention is analyzed and analyzed, which is convenient to implement and has strong achievability.
  • an attribute setting device is also provided, which is used to implement the above-mentioned embodiments and preferred embodiments, and has not been described again.
  • the term "module” may implement a combination of software and/or hardware of a predetermined function.
  • the apparatus described in the following embodiments is preferably implemented in software, hardware, or a combination of software and hardware, is also possible and conceivable.
  • 2 is a structural block diagram of an attribute setting apparatus according to an embodiment of the present invention. As shown in FIG. 2, the apparatus includes an analysis and statistics module 22, an acquisition module 24, and a first setting module 26. The device will be described below.
  • the analysis and statistics module 22 is configured to analyze and count the user to play one or more program sources through the IPTV program playing system; the obtaining module 24 is connected to the analysis and statistics module 22, and is configured to be analyzed according to the analysis and statistics module 22.
  • FIG. 3 is a structural block diagram of a preferred acquisition module 24 in an attribute setting apparatus according to an embodiment of the present invention.
  • the acquisition module 24 includes an update module 242 and a second acquisition module 244.
  • the update module 242 is configured to update the product in the IPTV product system.
  • the second obtaining module 244 is connected to the update module 242, and is configured to obtain the updated product corresponding to the program identifier in the IPTV product system.
  • 4 is a block diagram showing the structure of a preferred analysis and statistics module 22 in an attribute setting apparatus according to an embodiment of the present invention.
  • the analysis and statistics module 22 includes a second setting module 222 and a second analysis and statistics module 224. .
  • the analysis and statistics module includes a second setting module 222 configured to set a predetermined analysis and statistics time.
  • the second analysis and statistics module 224 is coupled to the second setting module 222 and configured to be within the predetermined analysis and statistical time.
  • the playing time of the one or more program sources played by the user through the IPTV program playing system is analyzed and counted.
  • the following description is made in conjunction with the preferred embodiments incorporating the above-described embodiments and preferred embodiments thereof.
  • a system for implementing an IPTV store that is personalized and recommended according to a user's viewing habits and an implementation method thereof are provided. With the method in the preferred embodiment, it is possible to perform personalized recommendation for each user in the IPTV store according to the habit of the user watching the program.
  • the IPTV application store can automatically recommend various programs, such as programs, products, and services, which are of interest to the user, and can help the user quickly obtain the required products, improve the user experience, and thereby promote the order rate of the products.
  • the system of the IPTV store that can be personalized and recommended according to the user's viewing habits in the preferred embodiment may include the following parts: an IPTV program playing module (corresponding to the functions of the IPTV playing system described above), an IPTV store module (with the above) The functionality of the described IPTV merchandise system is comparable), the user behavior analysis module (comparable to the functionality of the acquisition module described above), and the merchandise recommendation module (comparable to the functionality of the setup module described above). The functions of each of the above sections will be described in detail below.
  • the IPTV program playback module provides playback of IPTV programs (including multiple playback modes such as live broadcast and on-demand broadcasting), IPTV program source management, and collection and synchronization functions of user viewing behavior information.
  • the module can set labels or keywords for each program source. For example, one or more tags such as "Sports", “BA”, "Yao Ming" can be set for a BA game.
  • the IPTV program playing module can record the behavior of the user watching the program.
  • the module can also synchronize the IPTV basic user attribute, the user's behavior record and the tag information of the program source to the user behavior analysis module.
  • the IPTV store module can be used to provide an IPTV user with an online store that can sell virtual goods (for example, IPTV applications, IPTV on-demand programs, IPTV services, etc.), and can also sell actual products (for example, Sneakers, basketball, etc.).
  • virtual goods for example, IPTV applications, IPTV on-demand programs, IPTV services, etc.
  • actual products for example, Sneakers, basketball, etc.
  • IPTV users can browse the products displayed in the online store and select the products they need to order.
  • the IPTV store module can also set a label for each item, such as "basketball shoes", “soccer shoes”, etc., and synchronize the item information to the item recommendation module.
  • User behavior analysis module receives data such as basic user attributes synchronized from the IPTV program play module, user behavior records, and tag information of the program source, and performs behavior records of the user in a certain period of time in the near future. Statistical analysis, obtaining the user's recent preference for the program (for example, a longer viewing time), thereby obtaining one or more tag types with the highest recent attention of the user.
  • the user behavior analysis module receives the personalized recommendation request from the product recommendation system, and feeds back the label information with high recent attention of the user to the product recommendation module according to the user identity information carried in the product recommendation module request.
  • the product recommendation module receives the product information synchronized from the IPTV store module, and initiates a personalized recommendation request to the user behavior analysis module according to the personalized recommendation request of the IPTV store system, and obtains the user's recent high attention. Program preferences. At the same time, the product recommendation module combines the basic attributes of the product information, and filters the product with a high degree of relevance to the program tag attribute of the user (for example, a product of the same type as the program tag, or a product with the same tag number as the program tag). Come out and feed back to the IPTV store module.
  • the product recommendation module can feed the product "Nike Limited Edition Basketball Shoes" with a high degree of association with the BA as a recommended item to the IPTV store, and the store displays the product in an eye-catching position.
  • the implementation method of the IPTV store that performs personalized recommendation according to the user's viewing habits in the preferred embodiment may include the following steps: Step 1: The system provides an IPTV program play module, and sets a program source tag when the program source is input, and the user views the IPTV program through the IPTV module. Step 2: The IPTV program playing module records the user's viewing record, and synchronizes the record to the user behavior analysis module.
  • the IPTV program playing module synchronizes the basic attributes of the IPTV user and the tag attributes of the program source to the user behavior analysis module.
  • Step 3 The user behavior analysis module performs statistical analysis on the user's viewing record, and combines the basic attributes of the user to analyze the program attributes that the user is most concerned about in the near future.
  • Step 4 The user accesses the IPTV store module, and the IPTV store module initiates a recommendation request to the product recommendation system, and requests the product to be recommended for the user, wherein the IPTV store module sets the product tag attribute for each shelf item, and the The information is synchronized to the product recommendation module.
  • Step 5 The product recommendation module initiates a request to the user behavior analysis system to request to obtain the user's recent focus of attention.
  • Step 6 The product recommendation module selects all the products according to the tag attribute of the product according to the obtained user focus, and selects the product with the highest degree of relevance to the user attention point to feed back to the IPTV application store.
  • Step 7 The IPTV store module displays the obtained recommended products to the user at the recommended location of the store.
  • FIG. 5 is a schematic structural diagram of a system for an IPTV store that is personalized and recommended according to a user's viewing habit according to an embodiment of the present invention.
  • the system mainly Divided into two parts: basic module and function module: Basic module: Set some basic information elements.
  • the IPTV program playing system (same as the above IPTV program playing module): provides IPTV program playing, IPTV program source management, and user viewing behavior information collection and synchronization functions.
  • the IPTV store system (same as the IPTV store module described above): Provides an online store to an IPTV user, which can sell virtual goods or sell actual goods.
  • User behavior analysis system (same as the user behavior analysis module described above): receiving data such as user basic attributes synchronized from the IPTV program playing system, user behavior records, and tag information of the program source, and the user is The behavior record of a certain period of time is statistically analyzed to obtain the user's recent preference for the program, so as to obtain the label type with the highest concern of the user in the near future.
  • the product recommendation system (same as the above product recommendation module): receiving commodity information synchronized from the IPTV store system, and initiating a personalized recommendation request to the user behavior analysis system according to the personalized recommendation request of the IPTV store system, obtaining the user's recent concern is higher Program preferences.
  • Function module Each function module in the personalized product recommendation of the IPTV store system. The user watches the collection of program information. Commodity library attribute classification analysis. Analyze a list of recommended products that are suitable for the user. Recommended items are displayed in the IPTV store.
  • FIG. 6 is a flowchart of performing personalized recommendation according to a user's viewing habit according to an embodiment of the present invention. As shown in FIG.
  • Step S602 User A starts watching a program in an IPTV playing system;
  • Step S604 The IPTV playing system collects the tag information of the program clicked and viewed by the user in the IPTV; in step S606, the user behavior analysis system imports the basic attribute information of the user and the tag information of clicking or watching the program;
  • step S610 the product recommendation system imports all the products of the product library and the attribute tags of each product;
  • Step S612 the user A logs in to the store system of the IPTV;
  • Step S614 the store system of the IPTV to the product
  • the recommendation system issues a request to request a product suitable for the user A to recommend; in step S616, the product recommendation system sends a request to the user behavior analysis system to obtain the user's hobbies and trends of the viewing program; step S618, the product recommendation system is based on the user's interests And watch the trend label of the program, feedback is appropriate Recommended to
  • step S620 the IPTV store system displays the personalized recommended product list in the recommendation column to improve the user experience and purchase desire.
  • the product recommendation according to the user's interests can be experienced in the IPTV network store, and the interest in the product is greatly improved;
  • the management due to the successful positioning of commodities and people, the sales volume of goods is increased, and the products have achieved the maximum marketing effect, and the manufacturers or agents and operators of the products are mutually beneficial.
  • software is also provided for performing the technical solutions described in the above embodiments and preferred embodiments.
  • a storage medium is also provided, the software being stored, including but not limited to an optical disk, a floppy disk, a hard disk, a rewritable memory, and the like.
  • the above modules or steps of the present invention can be implemented by a general-purpose computing device, which can be concentrated on a single computing device or distributed over a network composed of multiple computing devices. Alternatively, they may be implemented by program code executable by the computing device, such that they may be stored in the storage device by the computing device and, in some cases, may be different from the order herein.
  • the steps shown or described are performed, or they are separately fabricated into individual integrated circuit modules, or a plurality of modules or steps are fabricated as a single integrated circuit module.

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Abstract

本发明提供了一种属性设置方法及装置，该方法包括，对用户通过IPTV节目播放系统选择播放一个或多个节目源进行分析和统计；根据分析和统计结果确定所述用户关注的节目源对应的节目标识，获取所述节目标识在所述IPTV商品系统中所对应的商品；设置所述商品的商品属性，其中，设置的所述商品属性用于指示在IPTV商品系统中显示商品的方式，解决了相关技术中对于IPTV商品系统中的所有用户推荐商品相同导致的问题，进而实现了其不同用户的个性化服务，提升了用户体验。

Description

属性设置方法及装置 技术领域 本发明涉及通信领域， 具体而言， 涉及一种属性设置方法及装置。 背景技术 IPTV即交互式网络电视， 是一种利用宽带有线电视网， 集互联网、 多媒体、 通讯 等多种技术于一体，向家庭用户提供包括数字电视在内的多种交互式服务的崭新技术。 在 IPTV中， 可提供多种增值业务， 其中一项重要的增值业务： IPTV网络商店系统， 可提供通过 IPTV进行各种商品的销售， 例如， 实体物品 （冰箱、 洗衣机、 运动服装、 食品等）、 数字高清节目套餐、 在机顶盒中运行的应用或服务等。 目前在 IPTV商店系统中展示商品时， 方式主要有两种， 一种所有用户展现出一 致的商品内容， 无推荐商品。 另一种是在商品推荐中， 无个性化的符合用户消费习惯、 兴趣爱好的商品推荐。 上述两种方式都存在一些缺陷， 例如， 对于方式一， 对于所有用户展现出一致的 商品内容， 无推荐商品， 用户体验感会逐渐降低， 购买欲也逐渐降低； 对于方式二， 在 IPTV商品系统的推荐栏中， 对于所有用户展现出一致的商品内容， 虽然该商品可 能是当前比较热门的商品， 但对于单一用户来讲， 可能并不符合其消费习惯、 兴趣爱 好或购买趋向， 这样也会导致用户体验不佳， 商品营销效果也会相应降低。 针对相关技术中对于 IPTV商品系统中的所有用户推荐商品相同导致的问题， 目 前尚未提出有效的解决方案。 发明内容 本发明实施例提供了一种属性设置方法及装置，以至少解决相关技术中对于 IPTV 商品系统中的所有用户推荐商品相同导致的问题。 根据本发明实施例的一个方面，提供了一种属性设置方法，包括:对用户通过 IPTV 节目播放系统选择播放一个或多个节目源进行分析和统计； 根据分析和统计结果确定 所述用户关注的节目源对应的节目标识， 获取所述节目标识在所述 IPTV商品系统中 所对应的商品；设置所述商品的商品属性，其中，设置的所述商品属性用于指示在 IPTV 商品系统中显示商品的方式。 优选地， 获取所述节目标识在所述 IPTV商品系统中所对应的商品包括， 对所述 IPTV商品系统中所述商品进行更新； 获取所述节目标识在所述 IPTV商品系统中所对 应的更新后的商品。 优选地， 获取所述节目标识在所述 IPTV商品系统中所对应的商品包括： 对所述 IPTV商品系统中的每个商品设置商品标识； 根据所述节目标识、 以及所述节目标识与 所述商品标识的对应关系， 获取所述 IPTV商品系统中的所述商品。 优选地， 对用户通过 IPTV节目播放系统播放一个或多个节目源的播放时间进行 分析和统计包括， 设置预定的分析和统计时间； 在预定的所述分析和统计时间内对用 户通过所述 IPTV节目播放系统播放所述一个或多个节目源的播放时间进行分析和统 计。 优选地， 对所述用户通过所述 IPTV节目播放系统选择播放一个或多个节目源进 行分析和统计包括， 对所述用户通过所述 IPTV节目播放系统选择播放一个或多个节 目源的播放时间进行分析和统计； 或者， 对所述用户通过所述 IPTV节目播放系统选 择播放一个或多个节目源的播放次数进行分析和统计。 优选地， 通过以下方式至少之一获取所述节目标识在所述 IPTV商品系统中所对 应的商品： 以所述节目标识为关键字进行搜索； 通过所述节目标识所属类型与所述商 品所属类型之间的匹配。 根据本发明实施例的另一方面， 提供了一种属性设置装置， 包括： 分析和统计模 块， 设置为对用户通过 IPTV节目播放系统选择播放一个或多个节目源进行分析和统 计； 获取模块， 设置为根据分析和统计结果确定所述用户关注的节目源对应的节目标 识， 获取所述节目标识在所述 IPTV商品系统中所对应的商品； 第一设置模块， 设置 为设置所述商品的商品属性， 其中， 设置的所述商品属性用于指示在 IPTV商品系统 中显示商品的方式。 优选地， 所述分析和统计模块， 设置为对所述用户通过所述 IPTV节目播放系统 选择播放一个或多个节目源的播放时间进行分析和统计； 或者， 对所述用户通过所述 IPTV节目播放系统选择播放一个或多个节目源的播放次数进行分析和统计。 优选地， 所述获取模块包括， 更新模块， 设置为对所述 IPTV商品系统中所述商 品进行更新； 第二获取模块， 设置为获取所述节目标识在所述 IPTV商品系统中所对 应的更新后的商品。 优选地， 所述分析和统计模块包括， 第二设置模块， 设置为设置预定的分析和统 计时间； 第二分析和统计模块， 设置为在预定的所述分析和统计时间内对用户通过所 述 IPTV节目播放系统播放所述一个或多个节目源的播放时间进行分析和统计。 通过本发明实施例， 采用对用户通过 IPTV节目播放系统选择播放一个或多个节 目源进行分析和统计； 根据分析和统计结果确定所述用户关注的节目源对应的节目标 识， 获取所述节目标识在所述 IPTV商品系统中所对应的商品； 设置所述商品的商品 属性， 其中， 设置的所述商品属性用于指示在 IPTV商品系统中显示商品的方式， 解 决了相关技术中对于 IPTV商品系统中的所有用户推荐商品相同导致的问题， 进而实 现了针对不同用户的个性化服务， 提升了用户体验。 附图说明 此处所说明的附图用来提供对本发明的进一步理解， 构成本申请的一部分， 本发 明的示意性实施例及其说明用于解释本发明， 并不构成对本发明的不当限定。 在附图 中： 图 1是根据本发明实施例的属性设置方法的流程图； 图 2是根据本发明实施例的属性设置装置的结构框图； 图 3根据本发明实施例的属性设置装置中的优选的获取模块的结构框图； 图 4根据本发明实施例的属性设置装置中的优选的分析和统计模块的结构框图； 图 5是根据本发明实施例的根据用户收看习惯进行个性化推荐的 IPTV商店的系 统的结构示意图； 图 6是根据本发明实施例的根据用户收看习惯进行个性化推荐的流程图。 具体实施方式 下文中将参考附图并结合实施例来详细说明本发明。 需要说明的是， 在不冲突的 情况下， 本申请中的实施例及实施例中的特征可以相互组合。 本实施例提供了一种属性设置方法， 图 1是根据本发明实施例的属性设置方法的 流程图， 如图 1所示， 该方法包括如下步骤： 步骤 S102， 对用户通过 IPTV节目播放系统选择播放一个或多个节目源进行分析 和统计； 步骤 S104， 根据分析和统计结果确定用户关注的节目源对应的节目标识， 获取该 节目标识在 IPTV商品系统中所对应的商品； 步骤 S106, 设置商品的商品属性， 其中， 设置的该商品属性用于指示在 IPTV商 品系统中显示商品的方式。 本实施例通过上述步骤， 获取到用户关注的节目源对应的节目标识， 并根据该节 目标识获取 IPTV商品系统中对应的商品， 并对这些商品的属性进行设置， 由于这些 商品是根据用户关注的节目源获取到的， 从而使得这些商品更容易符合该用户的消费 习惯、 兴趣爱好或购买趋向， 而由于不同用户关注的节目源不一定相同， 因此不同用 户应用本方案所得到的设置商品属性的商品也不一定相同， 解决了相关技术中对于
IPTV商品系统中的所有用户推荐商品相同导致的问题，实现了针对不同用户的个性化 服务， 提升了用户体验。 在实施过程中， 设置商品的商品属性的方式有很多种， 只要能够使这些商品区别 于其他商品， 实现对用户的个性化服务即可。例如， 可以设置这些商品的优先级较高， 使得在为用户显示 IPTV商品系统中的商品时， 能够优先显示这些商品； 或者， 也可 以在浏览窗口较为醒目的位置设置推荐商品栏， 通过设置这些商品的商品属性将这些 商品显示在该推荐商品栏中； 还可以将这些商品显示的字体放大、 图片放大等多种方 式， 在此不一一列举。 为了给用户推荐的商品更有可能符合该用户的需求， 作为一种优选实施方式， 在 步骤 S104中， 还可以在获取节目标识对应的商品之前， 先对 IPTV商品系统中的商品 进行更新， 再获取该节目标识在 IPTV商品系统中所对应的更新后的商品。 通过这种 方式， 可以使得为用户推荐的商品是最新的， 进一步提升了用户体验。 在实施过程中， 获取节目标识在 IPTV商品系统中所对应的商品的方式可以有很 多种。 例如， 方式一， 可以对 IPTV商品系统中的每个商品设置商品标识； 根据节目 标识、 以及节目标识与商品标识的对应关系， 获取 IPTV商品系统中的商品。 该对应 关系可以是该商品标识包含在该节目标识的类型中， 可以是该商品标识与该节目标识 相同， 可以是该商品标识是该节目标识的一部分， 也可以是该商品标识与该节目标识 相关联， 例如， 该商品标识与该节目标识存在于同一大类 （例如， 体育） 之中等， 也 可以是其他对应关系。 方式二， 也可以不使用为商品设置商品标识的方式获取节目标识在 IPTV商品系 统中所对应的商品， 例如， 可以以该节目标识作为关键字进行搜索， 将搜索到的商品 作为该节目标识在 IPTV商品系统中所对应的商品， 搜索的范围可以是商品名称， 也 可以是商品摘要、 商品说明书等； 还可以通过节目标识所属类型与商品所属类型之间 的匹配获取节目标识在 IPTV商品系统中所对应的商品， 例如， 如果节目标识为游戏， 则可以将商品类型为纸牌、 软件、 娱乐等的商品作为匹配的商品。 考虑到用户的偏好随着时间的变化有可能发生改变， 例如， 半个月前某用户喜欢 看游戏节目， 而最近该用户喜欢看摄影节目， 而该用户所对应的购买趋向也会发生变 化。 因此， 作为一种优选实施方式， 在步骤 S102中可以设置预定的分析和统计时间； 在预定的分析和统计时间内对用户通过 IPTV节目播放系统播放一个或多个节目源的 播放时间进行分析和统计。 例如， 可以分析和统计最近三天该用户播放一个或多个节 目源的播放时间。 通过这种方式， 能够获取到该用户近期较为关注的节目偏好， 从而 得到该用户近期的购买趋向， 进一步提升用户体验， 进而能够提高商品的营销效果。 在步骤 S102中，对用户通过 IPTV节目播放系统选择播放一个或多个节目源进行 分析和统计的方式有很多种， 优选地， 可以对用户通过 IPTV节目播放系统选择播放 一个或多个节目源的播放时间进行分析和统计； 或者， 也可以对用户通过 IPTV节目 播放系统选择播放一个或多个节目源的播放次数进行分析和统计。 当然还可以将两者 结合进行分析和统计。 通过上述方式分析统计出用户关注的节目源， 方便实施， 可实 现性强。 在本实施例中还提供了一种属性设置装置， 该装置用于实现上述实施例及优选实 施方式， 已经进行过说明的不再赘述。 如以下所使用的， 术语 "模块"可以实现预定 功能的软件和 /或硬件的组合。 尽管以下实施例所描述的装置较佳地以软件来实现， 但 是硬件， 或者软件和硬件的组合的实现也是可能并被构想的。 图 2是根据本发明实施例的属性设置装置的结构框图， 如图 2所示， 该装置包括 分析和统计模块 22、 获取模块 24和第一设置模块 26。 下面对该装置进行说明。 分析和统计模块 22， 设置为对用户通过 IPTV节目播放系统选择播放一个或多个 节目源进行分析和统计； 获取模块 24， 与分析和统计模块 22相连， 设置为根据分析 和统计模块 22的分析和统计结果确定该用户关注的节目源对应的节目标识，获取该节 目标识在该 IPTV商品系统中所对应的商品； 第一设置模块 26， 与获取模块 24相连， 设置为设置该商品的商品属性， 其中， 设置的该商品属性用于指示在 IPTV商品系统 中显示商品的方式。 优选地， 该分析和统计模块 22， 设置为对该用户通过该 IPTV节目播放系统选择 播放一个或多个节目源的播放时间进行分析和统计； 或者， 对该用户通过该 IPTV节 目播放系统选择播放一个或多个节目源的播放次数进行分析和统计。 图 3根据本发明实施例的属性设置装置中的优选的获取模块 24的结构框图，如图 3所示， 该获取模块 24包括更新模块 242和第二获取模块 244。 更新模块 242， 设置 为对该 IPTV商品系统中该商品进行更新； 第二获取模块 244， 与更新模块 242相连， 设置为获取该节目标识在该 IPTV商品系统中所对应的更新后的商品。 图 4根据本发明实施例的属性设置装置中的优选的分析和统计模块 22的结构框 图， 如图 4所示， 该分析和统计模块 22包括第二设置模块 222和第二分析和统计模块 224。该分析和统计模块包括，第二设置模块 222，设置为设置预定的分析和统计时间； 第二分析和统计模块 224， 与第二设置模块 222相连， 设置为在预定的该分析和统计 时间内对用户通过该 IPTV节目播放系统播放该一个或多个节目源的播放时间进行分 析和统计。 下面结合优选实施例进行说明， 该优选实施例结合了上述实施例及其优选实施方 式。 在本优选实施例中， 提供了一种根据用户收看习惯进行个性化推荐的 IPTV商店 的系统及其实现方法。 通过本优选实施例中的方法， 能够根据用户收看节目的习惯， 在 IPTV商店中针对每个用户进行个性化推荐。例如， 可以在 IPTV应用商店中向用户 自动推荐用户感兴趣的节目、 商品、 业务等各种内容， 能够帮助用户快速获取所需产 品， 提升用户体验， 进而可以促进产品的订购率。 本优选实施例中可根据用户收看习惯进行个性化推荐的 IPTV商店的系统可以包 括以下几个部分： IPTV节目播放模块（与上述所描述的 IPTV播放系统的功能相当）、 IPTV商店模块（与上述所描述的 IPTV商品系统的功能相当）、用户行为分析模块（与 上述所描述的获取模块的功能相当） 以及商品推荐模块 （与上述所描述的设置模块的 功能相当）。 下面对上述各个部分功能进行详细说明。
( 1 ) IPTV节目播放模块： IPTV节目播放模块提供 IPTV节目的播放 （包括直播 和点播等多种播放方式）、 IPTV节目源管理以及用户收看行为信息的收集、 同步功能。 该模块可以为每个节目源设置标签或关键字， 例如， 可以给一场 BA比赛设置上"体 育"、 " BA"、 "姚明"等一个或多个标签。 当用户通过该模块观看或点播自己喜欢的节目时， IPTV节目播放模块可以记录下 用户观看节目的行为。 同时， 该模块还可以将 IPTV基本用户属性、 用户的行为记录 以及节目源的标签信息同步给用户行为分析模块。
(2) IPTV商店模块： IPTV商店模块可以用于向 IPTV用户提供网络商店， 该商 店模块可以销售虚拟商品 （例如， IPTV应用， IPTV点播节目， IPTV业务等）， 也可 销售实际商品 （例如， 球鞋、 篮球等）。
IPTV用户通过该模块可以浏览网络商店里陈列的商品，并可选择自己所需的商品 进行订购。 该 IPTV商店模块还可以为每个商品设置标签， 例如， "篮球鞋" "足球鞋" 等， 并将商品信息同步给商品推荐模块。 (3 )用户行为分析模块： 用户行为分析模块接收来自 IPTV节目播放模块同步的 用户基本属性、 用户的行为记录以及节目源的标签信息等数据， 并对用户在近期某段 时间内的行为记录进行统计分析，获取用户近期对节目的偏好（例如，观看时间较长）， 从而获取用户近期关注度最高的一个或多个标签类型。 例如， 如果用户经常收看火箭队的 BA 比赛， 则可以获取到用户关注的节目标 签属性为 " BA"、 "姚明" 中至少之一。 同时， 用户行为分析模块接收来自商品推荐系统的个性化推荐请求， 根据商品推 荐模块请求中所携带的用户身份信息， 将该用户近期关注度较高的标签信息反馈给商 品推荐模块。
(4) 商品推荐模块： 商品推荐模块接收来自 IPTV商店模块同步的商品信息， 并 根据 IPTV商店系统的个性化推荐请求， 向用户行为分析模块发起个性化推荐请求， 获取该用户近期关注较高的节目偏好。 同时， 商品推荐模块结合商品信息的基本属性， 将标签与用户关注的节目标签属 性关联度高的商品 （例如， 与节目标签类型相同的商品， 或者， 与节目标签关键字相 同的商品等） 筛选出来， 反馈给 IPTV商店模块。 例如， 用户近期经常观看火箭队的 NBA比赛， 则商品推荐模块可以将与 BA关联度较高的商品 "Nike限量版篮球鞋" 作为推荐商品反馈给 IPTV商店， 商店将该商品展现在醒目的位置， 供用户浏览并订 购。 结合上述系统， 本优选实施例中根据用户收看习惯进行个性化推荐的 IPTV商店 的实现方法可以包括如下步骤： 步骤一： 系统提供 IPTV节目播放模块， 在录入节目源时设置节目源标签， 用户 通过 IPTV模块观看 IPTV节目。 步骤二： IPTV节目播放模块记载用户的观看记录， 并将记录同步给用户行为分析 模块。 IPTV节目播放模块将 IPTV用户的基本属性、 节目源的标签属性同步给用户行 为分析模块。 步骤三： 用户行为分析模块对用户的观看记录进行统计解析， 结合用户的基本属 性， 分析出用户近期最为关注的节目属性。 步骤四：用户访问 IPTV商店模块， IPTV商店模块向商品推荐系统发起推荐请求， 要求获取适用于推荐给该用户的商品，其中， IPTV商店模块为每个上架的商品设置商 品标签属性， 并将该信息同步给商品推荐模块。 步骤五： 商品推荐模块向用户行为分析系统发起请求， 请求获取该用户近期的关 注重点。 步骤六： 商品推荐模块根据获取的用户关注点， 根据商品的标签属性对所有商品 进行筛选， 选择与用户关注点关联度最高的商品反馈给 IPTV应用商店。 步骤七： IPTV商店模块将获取到的推荐商品在商店推荐位置展示给用户。 通过上述实施例及优选实施方式， 实现了对 IPTV 网络商店系统进行个性化商品 推荐， 对收看 IPTV并使用 IPTV商店系统的用户来说， 可以通过高体验的个性化推荐 功能， 获取更多贴近个人兴趣爱好、 消费习惯的商品。 同时， 对于提供商品的商家， 则可以将商品更快捷的展示给适合购买的用户， 商品的营销更加智能化。 下面对本发明实施例所提出的系统及方法分别进行说明， 图 5是根据本发明实施 例的根据用户收看习惯进行个性化推荐的 IPTV商店的系统的结构示意图， 如图 5所 示， 该系统主要分基本模块和功能模块两大区： 基本模块： 设定一些基本信息元素。
IPTV节目播放系统（同上述 IPTV节目播放模块）： 提供 IPTV节目的播放、 IPTV 节目源管理以及用户收看行为信息的收集、 同步功能。 IPTV商店系统 （同上述 IPTV 商店模块）： 向 IPTV用户提供网络商店， 该商店系统可以销售虚拟商品， 也可销售实 际商品。 用户行为分析系统 （同上述用户行为分析模块）： 接收来自 IPTV节目播放系 统同步的用户基本属性、 用户的行为记录以及节目源的标签信息等数据， 并对用户在 近期某段时间内的行为记录进行统计分析， 获取用户近期对节目的偏好， 从而获取用 户近期关注度最高的标签类型。商品推荐系统（同上述商品推荐模块）：接收来自 IPTV 商店系统同步的商品信息， 并根据 IPTV商店系统的个性化推荐请求， 向用户行为分 析系统发起个性化推荐请求， 获取该用户近期关注较高的节目偏好。 功能模块： IPTV商店系统的个性化商品推荐中各个执能模块。 用户收看节目信息收集。商品库属性归类分析。分析出适合用户的推荐商品列表。 推荐的商品在 IPTV商店中展现。 图 6是根据本发明实施例的根据用户收看习惯进行个性化推荐的流程图， 如图 6 所示， 该流程包括以下步骤： 步骤 S602, 用户 A在 IPTV播放系统中收看节目开始； 步骤 S604， IPTV播放系统收集用户在 IPTV中点击和收看的节目的标签信息； 步骤 S606，用户行为分析系统导入用户基本属性信息及点击或收看节目的标签信 息； 步骤 S608, 用户行为分析系统:分析出该用户的兴趣爱好和收看节目的趋向； 步骤 S610, 商品推荐系统导入商品库的所有商品及每个商品的属性标签； 步骤 S612， 用户 A登录到 IPTV的商店系统； 步骤 S614， IPTV的商店系统向商品推荐系统发出请求， 请求适合用户 A推荐的 商品； 步骤 S616, 商品推荐系统向用户行为分析系统发出请求， 获取用户的兴趣爱好和 收看节目的趋向标签； 步骤 S618, 商品推荐系统根据用户的兴趣爱好和收看节目的趋向标签， 反馈适合 推荐给用户的商品。 步骤 S620， IPTV的商店系统在推荐栏中展示个性化后的推荐商品列表， 提高用 户的体验度及购买欲。 从上述步骤可以看出， 对于 IPTV用户来说， 可以在 IPTV网络商店中体验到根据 用户兴趣爱好的商品推荐， 大大提高了对商品的兴趣度； 对于提供商品的厂商或者代 理商来说， 由于商品和人群的成功定位从而增大商品的销售量， 使其商品达到最大的 营销效应， 实现商品的厂商或者代理商和运营商双赢。 在另外一个实施例中， 还提供了一种软件， 该软件用于执行上述实施例及优选实 施例中描述的技术方案。 在另外一个实施例中， 还提供了一种存储介质， 该存储介质中存储有上述软件， 该存储介质包括但不限于光盘、 软盘、 硬盘、 可擦写存储器等。 显然， 本领域的技术人员应该明白， 上述的本发明的各模块或各步骤可以用通用 的计算装置来实现， 它们可以集中在单个的计算装置上， 或者分布在多个计算装置所 组成的网络上， 可选地， 它们可以用计算装置可执行的程序代码来实现， 从而， 可以 将它们存储在存储装置中由计算装置来执行， 并且在某些情况下， 可以以不同于此处 的顺序执行所示出或描述的步骤， 或者将它们分别制作成各个集成电路模块， 或者将 它们中的多个模块或步骤制作成单个集成电路模块来实现。 这样， 本发明不限制于任 何特定的硬件和软件结合。 以上所述仅为本发明的优选实施例而已， 并不用于限制本发明， 对于本领域的技 术人员来说， 本发明可以有各种更改和变化。 凡在本发明的精神和原则之内， 所作的 任何修改、 等同替换、 改进等， 均应包含在本发明的保护范围之内。

Claims

权 利 要 求 书
1. 一种属性设置方法， 包括：
对用户通过交互式网络电视 IPTV节目播放系统选择播放一个或多个节目 源进行分析和统计；
根据分析和统计结果确定所述用户关注的节目源对应的节目标识， 获取所 述节目标识在所述 IPTV商品系统中所对应的商品；
设置所述商品的商品属性， 其中， 设置的所述商品属性用于指示在 IPTV 商品系统中显示商品的方式。
2. 根据权利要求 1所述的方法， 其中， 获取所述节目标识在所述 IPTV商品系统 中所对应的商品包括，
对所述 IPTV商品系统中所述商品进行更新；
获取所述节目标识在所述 IPTV商品系统中所对应的更新后的商品。
3. 根据权利要求 1所述的方法， 其中， 获取所述节目标识在所述 IPTV商品系统 中所对应的商品包括：
对所述 IPTV商品系统中的每个商品设置商品标识；
根据所述节目标识、 以及所述节目标识与所述商品标识的对应关系， 获取 所述 IPTV商品系统中的所述商品。
4. 根据权利要求 1所述的方法， 其中， 对用户通过 IPTV节目播放系统播放一个 或多个节目源的播放时间进行分析和统计包括，
设置预定的分析和统计时间；
在预定的所述分析和统计时间内对用户通过所述 IPTV节目播放系统播放 所述一个或多个节目源的播放时间进行分析和统计。
5. 根据权利要求 1-4中任一项所述的方法， 其中， 对所述用户通过所述 IPTV节 目播放系统选择播放一个或多个节目源进行分析和统计包括，
对所述用户通过所述 IPTV节目播放系统选择播放一个或多个节目源的播 放时间进行分析和统计； 或者， 对所述用户通过所述 IPTV节目播放系统选择 播放一个或多个节目源的播放次数进行分析和统计。 根据权利要求 1-4中任一项所述的方法， 其中， 通过以下方式至少之一获取所 述节目标识在所述 IPTV商品系统中所对应的商品：
以所述节目标识为关键字进行搜索；
通过所述节目标识所属类型与所述商品所属类型之间的匹配。 一种属性设置装置， 包括：
分析和统计模块， 设置为对用户通过 IPTV节目播放系统选择播放一个或 多个节目源进行分析和统计；
获取模块， 设置为根据分析和统计结果确定所述用户关注的节目源对应的 节目标识， 获取所述节目标识在所述 IPTV商品系统中所对应的商品；
第一设置模块， 设置为设置所述商品的商品属性， 其中， 设置的所述商品 属性用于指示在 IPTV商品系统中显示商品的方式。 根据权利要求 7所述的装置， 其中， 所述分析和统计模块， 设置为对所述用户 通过所述 IPTV节目播放系统选择播放一个或多个节目源的播放时间进行分析 和统计； 或者， 对所述用户通过所述 IPTV节目播放系统选择播放一个或多个 节目源的播放次数进行分析和统计。 根据权利要求 7所述的装置， 其中， 所述获取模块包括，
更新模块， 设置为对所述 IPTV商品系统中所述商品进行更新； 第二获取模块， 设置为获取所述节目标识在所述 IPTV商品系统中所对应 的更新后的商品。 根据权利要求 7所述的装置， 其中， 所述分析和统计模块包括，
第二设置模块， 设置为设置预定的分析和统计时间；
第二分析和统计模块， 设置为在预定的所述分析和统计时间内对用户通过 所述 IPTV节目播放系统播放所述一个或多个节目源的播放时间进行分析和统
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