WO2013044476A1 - Procédé et appareil de rappel de contenu sur la base de données contextuelles - Google Patents

Procédé et appareil de rappel de contenu sur la base de données contextuelles Download PDF

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Publication number
WO2013044476A1
WO2013044476A1 PCT/CN2011/080338 CN2011080338W WO2013044476A1 WO 2013044476 A1 WO2013044476 A1 WO 2013044476A1 CN 2011080338 W CN2011080338 W CN 2011080338W WO 2013044476 A1 WO2013044476 A1 WO 2013044476A1
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WIPO (PCT)
Prior art keywords
contextual
data
combination
user
contextual data
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PCT/CN2011/080338
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English (en)
Inventor
Wenwei Xue
Zhanjiang Song
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Nokia Corporation
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.)
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Application filed by Nokia Corporation filed Critical Nokia Corporation
Priority to PCT/CN2011/080338 priority Critical patent/WO2013044476A1/fr
Priority to CN201180073961.XA priority patent/CN103842989A/zh
Publication of WO2013044476A1 publication Critical patent/WO2013044476A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/953—Querying, e.g. by the use of web search engines
    • G06F16/9535—Search customisation based on user profiles and personalisation
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • 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
    • G06Q10/00—Administration; Management
    • G06Q10/10—Office automation; Time management
    • G06Q10/109—Time management, e.g. calendars, reminders, meetings or time accounting
    • 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01—Social networking

Definitions

  • Service providers and device manufacturers e.g., wireless, cellular, etc.
  • Service providers and device manufacturers are continually challenged to deliver value and convenience to consumers by, for example, providing compelling network services. People often search for, or come across, content that they review but then do not remember at a later time. While people may not remember the precise details related to the content specifically, they may remember other things such as their surroundings when reviewing the content, however.
  • a method comprises determining an access of at least one content item at a device.
  • the method also comprises determining contextual data associated with the device, a user of the device, one or more other devices, or a combination thereof at least substantially concurrently with the access.
  • the method further comprises causing, at least in part, an association of the contextual data with at least one content item.
  • the association supports one or more context-based queries for the at least one content item.
  • an apparatus comprises at least one processor, and at least one memory including computer program code for one or more computer programs, the at least one memory and the computer program code configured to, with the at least one processor, cause, at least in part, the apparatus to determine an access of at least one content item at a device.
  • the apparatus is also caused to determine contextual data associated with the device, a user of the device, one or more other devices, or a combination thereof at least substantially concurrently with the access.
  • the apparatus is further caused to cause, at least in part, an association of the contextual data with at least one content item. The association supports one or more context-based queries for the at least one content item.
  • a computer-readable storage medium carries one or more sequences of one or more instructions which, when executed by one or more processors, cause, at least in part, an apparatus to determine an access of at least one content item at a device.
  • the apparatus is also caused to determine contextual data associated with the device, a user of the device, one or more other devices, or a combination thereof at least substantially concurrently with the access.
  • the apparatus is further caused to cause, at least in part, an association of the contextual data with at least one content item.
  • the association supports one or more context- based queries for the at least one content item.
  • an apparatus comprises means for determining an access of at least one content item at a device.
  • the apparatus also comprises means for determining contextual data associated with the device, a user of the device, one or more other devices, or a combination thereof at least substantially concurrently with the access.
  • the apparatus further comprises means for causing, at least in part, an association of the contextual data with at least one content item.
  • the association supports one or more context-based queries for the at least one content item.
  • a method comprising facilitating a processing of and/or processing (1) data and/or (2) information and/or (3) at least one signal, the ( 1) data and/or (2) information and/or (3) at least one signal based, at least in part, on (or derived at least in part from) any one or any combination of methods (or processes) disclosed in this application as relevant to any embodiment of the invention.
  • a method comprising facilitating access to at least one interface configured to allow access to at least one service, the at least one service configured to perform any one or any combination of network or service provider methods (or processes) disclosed in this application.
  • a method comprising facilitating creating and/or facilitating modifying ( 1) at least one device user interface element and/or (2) at least one device user interface functionality, the ( 1) at least one device user interface element and/or (2) at least one device user interface functionality based, at least in part, on data and/or information resulting from one or any combination of methods or processes disclosed in this application as relevant to any embodiment of the invention, and/or at least one signal resulting from one or any combination of methods (or processes) disclosed in this application as relevant to any embodiment of the invention.
  • a method comprising creating and/or modifying ( 1 ) at least one device user interface element and/or (2) at least one device user interface functionality, the ( 1) at least one device user interface element and/or (2) at least one device user interface functionality based at least in part on data and/or information resulting from one or any combination of methods (or processes) disclosed in this application as relevant to any embodiment of the invention, and/or at least one signal resulting from one or any combination of methods (or processes) disclosed in this application as relevant to any embodiment of the invention,
  • the methods can be accomplished on the service provider side or on the mobile device side or in any shared way between service provider and mobile device with actions being performed on both sides.
  • An apparatus comprising means for performing the method of any of originally filed claims 1 - 1 1 , 23-33, and 39-41.
  • FIG. 1 is a diagram of a system capable of recalling content based on contextual data, according to one embodiment;
  • FIG. 2 is a diagram of the components of a queiy processing platform, according to one embodiment;
  • FIG. 3 is a flowchart of a process for recalling content based on contextual data, according to one embodiment
  • FIG. 4 is an illustration of various hierarchies for storing contextual data, according to one embodiment
  • FIG. 5 is a diagrams of a user interface utilized in the processes of FIG. 3, according to one embodiment
  • FIG. 6 is a diagrams of a user interface utilized in the processes of FIG. 3, according to one embodiment
  • FIG. 7 is a diagrams of a user interface utilized in the processes of FIG. 3, according to one embodiment
  • FIG. 8 is a diagrams of a user interface utilized in the processes of FIG. 3, according to one embodiment
  • FIG. 9 is a diagram of hardware that can be used to implement an embodiment of the invention.
  • FIG. 10 is a diagram of a chip set that can be used to implement an embodiment of the invention.
  • FIG. 1 1 is a diagram of a mobile terminal (e.g., handset) that can be used to implement an embodiment of the invention.
  • a mobile terminal e.g., handset
  • contextual data refers to, at least in part, all contextual data, user data and user-to-device interaction data (e.g., date, time of day, location, activity, motion, position, modality, spatiotemporal element, etc.) as collected, and is particularly useful for determining a present state or modality of a device.
  • contextual data can be determined through analysis of historical data pertaining to the user or device, so as to enable a means of predicting to a degree to certainty expected or future device states or modalities.
  • Contextual data is information that may dynamically change over time.
  • contextual data may also be any other contextual user information such as user calendar event information, weather information, environmental sensor information, accelerometer information, compass information, etc.
  • FIG. 1 is a diagram of a system capable of recalling content based on contextual data, according to one embodiment.
  • People often review content, search for content then do not remember at a later time what they searched for, or the results of that search. People also, by way of simply browsing various websites, come across content without specifically searching for it. For example, a user may search for or review web pages, images, news, articles, persons, deal, etc. by way of a browser or search application, or find an article by way of a series of website links without knowing how that article was actually discovered.
  • the lack of details regarding the content also leads to difficulties in re-finding the content by way of conventional search engines.
  • the user's memory may fade with regard to the content, the user may more easily recall the content by relating high-level contextual info to a search event for the content. For example, a user may think about a certain content and wonder, "what was the name of that song?" Then, possibly jog his memory by recalling the time, location, activity, type of song, etc. or anything that the user may contextually recall about the time when he thought of the content, and may then recall the content.
  • a user came across a "secret” soup recipe while she was waiting in the bus stop and browsing the Internet.
  • the user did not save the recipe at the time and later wants to make a special meal for friends. She recalls finding this great the soup recipe, but it is difficult to dig it out from a device's browser history although it may be saved somewhere.
  • the user's memory fades over time, the user may recall certain details of the event of finding the recipe. For example, the user may remember that she found the recipe "some Tuesday evening,” “at a bus stop near the office,” “played a video game after browsing Internet,” “together with a friend at the time,” etc.
  • a system 100 of FIG. 1 introduces the capability to recall content, search parameters and/or search results based on contextual data.
  • the system 100 comprises a user equipment (UE) 101 , a query processing platform 103, a communication network 105, a social networking service 107, and a data store 109.
  • the UE 101 also includes a search API 1 1 1 .
  • a user of the system 100 may use the search API 1 1 1 within a mobile/web/desktop service, when a user views a piece of content.
  • the query processing platform 103 may attach and/or tag the user's current contextual data as metadata to the content data that is being viewed at the time of collection or at the time of a search for content data and cause the piece of "content + context" data to be stored in the user's browsing history.
  • the content itself may be stored, or a pointer to the content may be stored and associated with the content.
  • the content and/or the contextual data may be stored on any of a client-side data store resident on the UE 101 , or in a remote data store 109.
  • Various kinds of user contextual data are utilizable, esp. for the mobile services: such as, but not limited to time, location (GPS or cell ID), phone activity (e.g. calling, SMS, playing Game X, listening to music, web browsing), detected friends around (e.g. identified by their mobile phones and detected by Bluetooth, for example), calendar event, Wi-Fi access point information, battery status, or any other context that a user may recall in his memory, as discussed above.
  • contextual data may also be tied to a SIM card usage such as in a case where the UE 101 is a multi-SIM device. For example, a user might remember that he was using SIM card #2 when he previously viewed the article that he is trying to recall. In the event the user is trying to recall content, such SIM card usage may serve as fine and effective contextual conditions in content recollection that filter out irrelevant candidate query results, especially when the user does not often use SIM card #2.
  • Phone activity contextual data may also refer to tasks related to using a particular SIM such as receiving a phone call from a friend using SIM card #1 , which may be extrapolated as a business card with cheap call fares, etc. If the UE 101 has more than one SIM, another SIM may be used for other specific tasks such as map navigation using SIM card #2. SIM #2 in this case may be labeled as a leisure card and tied to cheap network fare. Accordingly, auto- mapping from various phone activities of a user to her different SIM cards may be possible based on pre-defined or post-learned user preference or habit profiles of phone usage. Usage labeling relieves the user from manually inputting the SIM card ID in a search query because a detected usage type of the SIM card is tied to a genre of usage.
  • the user when a user wants to recall content, but cannot remember the content specifically, the user may conduct a contextual data-based query to recall the content, any search parameters that caused the discovery of content, or any other contextual data related to the initial content search, for example.
  • the search API 1 1 1 may, for example, be configured to issue a search query of the user's browsing history, in which the user inputs what he can recall relating to contextual information associated with the time when the user discovered the content rather than content details as in a traditional search.
  • the contextual data may be sensor data detected by way of a sensor 1 13 associated with the UE 101 , or data input by a user when he conducts a search for content.
  • the search API 1 1 1 may have a preference setting such that the user can address privacy concerns by turning on and off the sampling of any context type at search API 1 1 1.
  • the contextual data may be sampled periodically so that the contextual data is collected at a regular sample time interval. Periodically sampling the contextual data is indifferent to the user's content viewing activities within the search API 1 1 1 and enables the collection of as much contextual data as possible. Having an abundance of contextual data enables diversified context querying in the future. Periodic sample causes large energy consumption on mobile devices and requires a greater amount of data storage when compared to other collection options.
  • Another option for sampling the contextual data is by way of on-site sampling which only collects contextual data at the time when the user views a piece of content.
  • On-site sampling consumes a lesser amount of energy and requires a smaller storage compared to the periodic contextual sampling.
  • On-site contextual data sampling results in restricted and inflexible context querying, for example, the temporal relationship detection between one or more sub-activities and the main activity may not be supported in this option since the contextual data of sub-activities before or after the user views the content are not collected.
  • Adaptive sampling is a hybrid approach that combines periodic and on-site sampling by generating irregular contextual data sample intervals that are adaptively adjusted according to the current content viewing frequency of the user - "view more contents, collect more contexts.”
  • the viewing frequency may be based, for example, on extracted preferences from a user profile associated with the social networking service 107, or any other stored behavioral patterns that are stored by the query processing platform 103.
  • the search API 1 1 1 may, have various search boxes for searching based on user contextual data, much like a conventional search engine would have a search box for searching based on content keywords.
  • the user input can be unstructured plain text in natural language, or be obtained using advanced search UIs.
  • an unstructured user input may be a block of text input in a search box UI that could be parsed using named entity recognition techniques, etc., in natural language processing.
  • the query processing platform 103 may analyze and extract names of context attributes and their relevant values from the user textual input. The following inputs could be made, for example, in to the search API 1 1 1 for searching for recalling content based on contextual data: location - "5 Wayside Road, Burlington, MA", phone activity - "playing Game X,” “battery - “low,” Wi-Fi - “on,” etc.
  • User input to a context search box may also be any data input by way of an advanced search UI such as calendar, map, web form, etc.
  • the input may be used as search terms, or as a means for narrowing a search scope. Such as, for example, limiting a date range or a locale on a map for searching the contextual data for relevant search results.
  • the extracted search terms from various UIs may be used as parameters to compose structured queries (e.g. SQL) based on system-defined query templates. These structured queries are then optimized and executed over data available in the data store 109, or in a client-side data store resident on the UE 101.
  • the data store could be implemented, for example, using traditional data warehouse plus multi-level indices, using key-value store (e.g. HBase) plus text search engine (e.g. Lucene), and the like.
  • the results of the contextual data-based query may provide a list of contents that are associated within a certain matching threshold of the contextual data that is the basis for the search.
  • the query processing platform 103 may also provide search parameters that resulted in the content in the first place, or any other related contextual data that may be used to generate other contextual data based searches and/or job a user's memory.
  • the search API 1 1 1 and/or the query processing platform 103 may have filtering mechanisms that limit the scope of the search, as well as the storage lifetime that any content and associated contextual data is stored before expiring.
  • the system 100 may only store contents within a recent period (e.g., 3 months), only store contents with a long user "viewing time" (e.g., the time the user stays in the search API 1 1 1 displaying the content until he switches to another UI or moves from the content to another content), or based on other storage criteria.
  • the system 100 may also only store contents whose topics match user's interests defined in his profile, only store contents that match previous search queries of the user, or a hybrid approach that combines any number of these options.
  • a rank value specific to each individual approach may be computed for the content given its associated user context, and a weight value may be pre-assigned to each approach.
  • the system 100 may optionally only store the contents with overall rank (i.e. the weighted combination of ranks of individual approaches) larger than a threshold value.
  • Another option for reducing the amount of stored contextual data is to aggregate the contextual data of multiple contents to a single data value. For example, consider the following contexts: "201 1 -01 -01 18:23 :59,” “201 1-01 -10" and "201 1-01 -22 08:00.” Aggregating these contexts to store the similar data would result in storing the contextual data for all the contexts as “201 1 -01 ,” Of course, such scaling up aggregation from a greater to lesser granularity trades storage costs with future search granularity/accuracy.
  • the query processing platform 103 may cause the contextual data to be stored in the data store 109 in a hierarchical format.
  • each type of context attribute corresponds to a context hierarchy.
  • the hierarchy definitions can be any combination of system-defined, global default settings that are the same to all users, and/or each user, if preferred, could personalize any context hierarchy using the search API 1 1 1.
  • each context attribute value corresponds to a category in the hierarchy such as:
  • the hierarchy may be stored as an ontology of genus and species related to the context in the data store 109 or as an ontology in a semantic web.
  • the hierarchy may be used to limit the granularity of a contextual data-based search so which may increase the speed of a search as well as the accuracy.
  • the contextual data-based query model can be applied to a more general middleware platform.
  • the query processing platform 103 can provide content/context data management and query processing functionalities for multiple client services and applications beyond the search API 1 1 1.
  • Open APIs for data communication between the client services and the social networking service 107 could be used to collect contextual data.
  • Client services may also upload and download their application- specific contents and contexts.
  • the query processing platform 103 collects and uploads user- specific contexts and contents to user accounts.
  • the user accounts may be associated with individual client services and could be bound to a single corresponding user account in the social networking service 107.
  • the system 100 may enable content/context data sharing across multiple client services beyond anything associated with the search API 1 1 1 and/or the social networking service 107 such that the content/context data is accessible from a centralized account so that content may be found across many different services.
  • the user may input a contextual data-based search using the search API 1 1 1.
  • the contextual data-based search is then processed by the query processing platform to match any of the contextual data inputs with content that is stored in the data store 109 to return results of content that are probable matches to the search API 1 1 1. So, if the user recalls reading an article on a sunny day between May and April in the afternoon while in the company of her friend Jill, the query processing platfonn may search the data store 109 for contents that meet those contextual criteria and output that information to the user so that the user may review the content that has been recalled. [0055] As shown in FIG.
  • the system 100 comprises a user equipment (UE) 101 having connectivity to the query processing platform 103, the social networking service 107 and the data store 109 via a communication network 105.
  • the communication network 105 of system 100 includes one or more networks such as a data network, a wireless network, a telephony network, or any combination thereof.
  • the data network may be any local area network (LAN), metropolitan area network (MAN), wide area network (WAN), a public data network (e.g., the Internet), short range wireless network, or any other suitable packet-switched network, such as a commercially owned, proprietary packet-switched network, e.g., a proprietary cable or fiber-optic network, and the like, or any combination thereof.
  • the wireless network may be, for example, a cellular network and may employ various technologies including enhanced data rates for global evolution (EDGE), general packet radio service (GPRS), global system for mobile communications (GSM), Internet protocol multimedia subsystem (IMS), universal mobile telecommunications system (UMTS), etc., as well as any other suitable wireless medium, e.g., worldwide interoperability for microwave access (WiMAX), Long Term Evolution (LTE) networks, code division multiple access (CDMA), wideband code division multiple access (WCDMA), wireless fidelity (WiFi), wireless LAN (WLAN), Bluetooth ⁇ , Internet Protocol (IP) data casting, satellite, mobile ad-hoc network (MANET), and the like, or any combination thereof.
  • EDGE enhanced data rates for global evolution
  • GPRS general packet radio service
  • GSM global system for mobile communications
  • IMS Internet protocol multimedia subsystem
  • UMTS universal mobile telecommunications system
  • WiMAX worldwide interoperability for microwave access
  • LTE Long Term Evolution
  • CDMA code division multiple
  • the UE 101 is any type of mobile terminal, fixed terminal, or portable terminal including a mobile handset, station, unit, device, multimedia computer, multimedia tablet, Internet node, communicator, desktop computer, laptop computer, notebook computer, netbook computer, tablet computer, personal communication system (PCS) device, personal navigation device, personal digital assistants (PDAs), audio/video player, digital camera/camcorder, positioning device, television receiver, radio broadcast receiver, electronic book device, game device, or any combination thereof, including the accessories and peripherals of these devices, or any combination thereof. It is also contemplated that the UE 101 can support any type of interface to the user (such as "wearable" circuitry, etc.).
  • a protocol includes a set of rules defining how the network nodes within the communication network 105 interact with each other based on information sent over the communication links.
  • the protocols are effective at different layers of operation within each node, from generating and receiving physical signals of various types, to selecting a link for transferring those signals, to the format of information indicated by those signals, to identifying which software application executing on a computer system sends or receives the information.
  • the conceptually different layers of protocols for exchanging information over a network are described in the Open Systems Interconnection (OSI) Reference Model.
  • Each packet typically comprises (1) header information associated with a particular protocol, and (2) payload information that follows the header information and contains information that may be processed independently of that particular protocol.
  • the packet includes (3) trailer information following the payload and indicating the end of the payload information.
  • the header includes information such as the source of the packet, its destination, the length of the payload, and other properties used by the protocol.
  • the data in the payload for the particular protocol includes a header and payload for a different protocol associated with a different, higher layer of the OSI Reference Model.
  • the header for a particular protocol typically indicates a type for the next protocol contained in its payload.
  • the higher layer protocol is said to be encapsulated in the lower layer protocol.
  • the headers included in a packet traversing multiple heterogeneous networks, such as the Internet typically include a physical (layer 1) header, a data-link (layer 2) header, an internetwork (layer 3) header and a transport (layer 4) header, and various application (layer 5, layer 6 and layer 7) headers as defined by the OSI Reference Model.
  • FIG. 2 is a diagram of the components of query processing platform 103, according to one embodiment.
  • the query processing platform 103 includes one or more components for providing recalling content based on contextual data. It is contemplated that the functions of these components may be combined in one or more components or performed by other components of equivalent functionality.
  • the query processing platform 103 includes a control logic 201 , a communication module 203, a query processing module 205, a context storage module 207, and a context hierarchy module 209.
  • the query processing platform 103 receives an indication that a user of the UE 101 is conducting a search for content using search API 1 1 1 of browsing content using the UE 101 by way of the communication module 203.
  • the search API 1 1 1 may be any browser or other means for viewing content. While a user may not necessarily be conducting a search for specific content, the user, by way of various links to other content from a website, for example.
  • the control logic 201 While viewing the content, or conducting a search for content, the control logic 201 causes the context storage module 207 to receive contextual data from the UE 101.
  • the context storage module 207 in conjunction with the control logic 201 , the UE 101 and the social networking service 107, determines when the contextual data is to be collected and processed for storage in the data store 109.
  • the context storage module 207 also causes the contextual data to be associated with any content that is being viewed or is the subject of a search at the time that the contextual data is collected. The context storage module 207 then also causes the content to be stored in the data store 109 for later recall based on the association with the stored contextual data. [0061J If the contextual data is collected and determined to be stored, the context hierarchy module 209 generates a hierarchy schema for the contextual data. The context hierarchy module 209 organizes the contextual data so that it is viewable from a high detail level to a low detail !evel so that a level of abstraction is at its maximum at the highest level of the hierarchy. The context hierarchy module 209 enables the contextual data to be stored in the data store 109 in an organized manner such that it can be efficiently searched.
  • the control logic receives a search request from the UE 101 by way of the communication module 203 and instructs the query processing module to conduct a search for any contextual data that is available in the data store 109 based on an input at the search API 1 1 1.
  • the query processing module searches the data store 109, based on any number of limiting inputs such as date, time and distance ranges or values and/or keywords, for example.
  • the query processing module 205 Upon finding matching contextual data in the data store 109 that has a reasonable probability of matching the input query parameters, the query processing module 205 matches the contextual data with its associated content that is stored in the data store 109, or any previous search parameters that may have been used at the time the contextual data was collected. Upon matching the content with the contextual data, the queiy processing module 205 returns results to the search API 1 1 1 by way of the communication module 203 that are in accord with the matched content, contextual data and/or search parameters.
  • FIG. 3 is a flowchart of a process for recalling content based on contextual data, according to one embodiment.
  • the query processing platform performs the process 300 and is implemented in, for instance, a chip set including a processor and a memory as shown in FIG. 10.
  • the query processing platform 103 determines access of at least one content item at a device.
  • the process continues to step 303 in which the query processing platform 103 determines contextual data associated with the device, a user of the device, one or more other devices, or a combination thereof at least substantially concurrently with the access.
  • the query processing platform 103 causes, at least in part, an association of the contextual data with at least one content item.
  • the association supports one or more context-based queries for the at least one content item.
  • the query processing platform causes, at least in part, a scaling of a first level of the at least contextual hierarchy associated with the one or more contextual parameters to substantially match a second level of the at least on contextual hierarchy associated with the contextual data.
  • the comparison is based, at least in part, on the scaling.
  • the query processing platform 103 causes, at least in part, an aggregation of at least a portion of the contextual data based, at least in part, on the at least one contextual hierarchy. Then, in step 315, the query processing platform 103 processes and/or facilitates a processing of the one or more contextual parameters for causing, at least in part, a comparison against the contextual data. The process continues to step 3 17 in which the query processing platform causes, at least in part, a filtering of the at least one content item, the contextual data, the association, or a combination thereof based, at least in part, on one or more user-defined criteria, a user history of interaction with the at least one content item, user profile information, user search history, or a combination thereof.
  • step 3 19 the query processing platform 103 determines at least one of the one or more context-based queries specifying, at least in part, one or more contextual parameters.
  • step 321 query processing platform determines the at least one of the one or more context-based queries based, at least in part, on an unstructured input, a structured input, or combination thereof, and causes, at least in part, a rendering of a user interface for determining the unstructured input, the structured input, or a combination thereof based, at least in part, on one or more predefined templates for the user interface, one or more input fields of the user interface, or a combination thereof.
  • the query processing platform 103 extracts the inputs from the user interface fields, and/or the user interface in general if it is an active user interface such as a selectable calendar or map. [0067] The query processing platform 103 determines the hierarchy value of any of the extracted inputs and composes structured queries for execution based on system-defined query templates, functions and store procedures given parsed user search input.
  • the query processing platform 103 determines the at least one content item as at least one result of the at least one of the one or more context-based queries based, at least in part, on the comparison.
  • the query processing platform 103 performs index searches over the data store 109 to get all contents whose associated user contexts match, or could be scaled-up in the context hierarchy to become matched with, the context input in the user search.
  • the contextual data, the one or more contextual parameters, or a combination thereof relate, at least in part, to one or more location contextual parameters, one or more temporal contextual parameters, one or more activity contextual parameters, one or more contact contextual parameters, one or more communication contextual parameters, or a combination thereof.
  • the contextual data because it relates to any activity, event, condition, etc., as discussed above may be used to help a user recall the content that he was viewing at the time the contextual data is collected.
  • the contextual data as discussed above may be selectively detected based on a predefined schedule, a usage pattern, or any combination thereof based on a user preference setting, default setting, or detected usage based on a user profile associated with the UE 101 and/or the social networking service 107, for example.
  • FIG. 4 is an illustration of example hierarchy- organized contextual data.
  • the hierarchy 401 relates to time.
  • the hierarchy 401 goes from top to bottom increasing level of granularity.
  • a timestamp (at the bottom of the hierarchy 401 ) having the greatest granularity for the accuracy of a search and gradually reducing that granularity as the contextual data moves up in the hierarchy, from timestamp, to minute, to hour, to date, to day of week, to week, to month, and to year.
  • the hierarchy 403 goes from top to bottom increasing in level of location granularity.
  • the lowest level of the hierarchy is the highest granularity of a location. For example GPS coordinates, a cell ID, or seat at a movie theatre.
  • the description could be from seat, to room, to floor, to building, to street, to district, to city, to country, to continent, etc.
  • the level may go from GPS to point of interest and on up the hierarchy chain,
  • the hierarchy 405 illustrates a hierarchy of user phone activity.
  • a phone could be used for making or receiving a call, which when going up the hierarchy tree can be reduced in granularity to a call, then to a communication, to active.
  • the activity may be idle, for example.
  • the activity may be (playing) a game X, which is reduced to a game, then to leisure, then to active.
  • the hierarchy 407 similarly reduces the granularity of phone battery state when it is considered as a kind of contextual data. For example, a specific numeric battery meter reading (e.g. 15% and 95%) may be reduced in granularity to a coarse symbolic degree (e.g. "low” and "high”).
  • FIG. 5 illustrates an example user interface 501 for inputting a contextual data-based query to recall content.
  • a user may input contexts that describe when, where, what he was doing, who was with him, and the like at the time he previously viewed or searched for the content, a general topic of the content, other contexts that he may recall and various keywords.
  • the user interface 501 may have fields 503-517 for receiving such inputs that are processed by the query processing platform 103 to search for the content based on the input contextual data that the user recalls. For example, in field 503, the user may textually input a specific calendar day or range, or select from an interactive user interface a date, time, or series of dates (hat are to input as part of the contextual data-based query.
  • the user may input a specific location or select a location for "where" the user thinks he may have been when viewing the content to be recalled.
  • the user may input text relating to a main activity that he was doing when viewing the content, and/or select from a list of already available activity categories, and/or input relevant sub-activities to the main activity and their properties.
  • the user may select from a list of people associated with his contact information or social networking profile, or an interactive search may be made for people that have a probability of being affiliated with the contextual data that has been input into the other fields.
  • the user may input a specific content topic as in some traditional search.
  • the topic may be selectable from a series of pre-defined topics, among other options such as simply inputting free text.
  • the user may input or select other related contexts from a list of pre-defined options such as battery state, Wi-Fi access point, etc.
  • the user may input any other keywords that may be considered as part of the contextual data with which the user wants to base the contextual data-based search.
  • FIG. 6 illustrates a series of user interfaces 601 -607 that are related to the "when" input discussed above in user interface 501.
  • the user may select the "when” input in user interface 601 to view an interactive calendar such as that illustrated in user interfaces 603, 605 and 607.
  • the user interface 603 allows a user to select a broad date range such as entire months while the user interface 605 leads to the more specific user interface 607 for selecting specific days or weeks because only one month is selected in user interface 605.
  • the level of granularity may further be modified as high as years, or as low as a specific timestamp.
  • the highlighted regions on the calendar are then extracted and turned into bounds for limiting the contextual data-based query.
  • FIG. 7 illustrates a series of user interfaces 701 -705 that are related to the "where" input discussed above in user interface 501.
  • the user may interactively select locations on an outdoor map 703 for a higher level of granularity and/or an area based on an indoor map 705.
  • the user may select a pinpoint location, or a range by forming a radius around a location.
  • the user may create an area out of any polygon or closed shape for limiting the contextual data-based query search.
  • FIG. 8 is an illustration of a user interface 801 related to the "main activity" and "sub- activities” fields discussed above with regard to user interface 501.
  • a user may input a main activity 803 and zero or more sub-activities 805 in their requisite search boxes.
  • the query processing platfonn 103 may cause the main activity to be optionally parsed and designated as a phone or calendar activity at 807 and then increase the granularity to a higher level 809 such as a calendar activity could be categorized into meeting, movie, training, etc. in its context hierarchy.
  • the query processing platfonn 103 may similarly parse any input sub-activities 805 into phone or calendar activities at 81 1 , for example, the categories of phone activities are 813 such as SMS, email, make call, receive call, listen to music, web browsing, map navigation, etc.
  • the query processing platfonn 103 also enables a selection of the temporal relationship between each sub- activity and the main activity, for example, which may be designated by occurrence with regard to the main activity that is selected at 815. For example, a map navigation sub-activity could be designated as occurring after the main activity of meeting. This may be beneficial as a user is trying to trace his steps while attempting to recall the content or at least the contextual data that the user in his right mind has associated with the context.
  • the user may designate that the sub- activity occurred before, during, overlapping or after he viewed the content that he is trying to recall.
  • the user may also optionally select friends that the user remembers were involved with the main or a sub-activity that comes to mind at 817, as well as the timing of that person's interaction according to the main activity at 819.
  • the processes described herein for recalling content based on contextual data may be advantageously implemented via software, hardware, firmware or a combination of software and/or firmware and/or hardware.
  • the processes described herein may be advantageously implemented via processor(s), Digital Signal Processing (DSP) chip, an Application Specific Integrated Circuit (ASIC), Field Programmable Gate Arrays (FPGAs), etc.
  • DSP Digital Signal Processing
  • ASIC Application Specific Integrated Circuit
  • FPGA Field Programmable Gate Arrays
  • FIG. 9 illustrates a computer system 900 upon which an embodiment of the invention may be implemented.
  • computer system 900 is depicted with respect to a particular device or equipment, it is contemplated that other devices or equipment (e.g., network elements, servers, etc.) within FIG. 9 can deploy the illustrated hardware and components of system 900.
  • Computer system 900 is programmed (e.g., via computer program code or instructions) to recall content based on contextual data as described herein and includes a communication mechanism such as a bus 910 for passing information between other internal and external components of the computer system 900.
  • Information is represented as a physical expression of a measurable phenomenon, typically electric voltages, but including, in other embodiments, such phenomena as magnetic, electromagnetic, pressure, chemical, biological, molecular, atomic, subatomic and quantum interactions. For example, north and south magnetic fields, or a zero and non-zero electric voltage, represent two states (0, 1) of a binary digit (bit). Other phenomena can represent digits of a higher base. A superposition of multiple simultaneous quantum states before measurement represents a quantum bit (qubit). A sequence of one or more digits constitutes digital data that is used to represent a number or code for a character. In some embodiments, information called analog data is represented by a near continuum of measurable values within a particular range.
  • Computer system 900, or a portion thereof, constitutes a means for performing one or more steps of recalling content based on contextual data,
  • a bus 910 includes one or more parallel conductors of information so that information is transferred quickly among devices coupled to the bus 910.
  • One or more processors 902 for processing information are coupled with the bus 910.
  • a processor (or multiple processors) 902 performs a set of operations on information as specified by computer program code related to recall content based on contextual data.
  • the computer program code is a set of instructions or statements providing instructions for the operation of the processor and/or the computer system to perform specified functions.
  • the code for example, may be written in a computer programming language that is compiled into a native instruction set of the processor. The code may also be written directly using the native instruction set (e.g., machine language).
  • the set of operations include bringing information in from the bus 910 and placing information on the bus 910.
  • the set of operations also typically include comparing two or more units of information, shifting positions of units of information, and combining two or more units of information, such as by addition or multiplication or logical operations like OR, exclusive OR (XOR), and AND.
  • Each operation of the set of operations that can be performed by the processor is represented to the processor by information called instructions, such as an operation code of one or more digits.
  • a sequence of operations to be executed by the processor 902, such as a sequence of operation codes, constitute processor instructions, also called computer system instructions or, simply, computer instructions.
  • Processors may be implemented as mechanical, electrical, magnetic, optical, chemical or quantum components, among others, alone or in combination.
  • Computer system 900 also includes a memory 904 coupled to bus 910.
  • the memory 904 such as a random access memory (RAM) or any other dynamic storage device, stores information including processor instructions for recalling content based on contextual data. Dynamic memory allows information stored therein to be changed by the computer system 900. RAM allows a unit of information stored at a location called a memory address to be stored and retrieved independently of information at neighboring addresses.
  • the memory 904 is also used by the processor 902 to store temporary values during execution of processor instructions.
  • the computer system 900 also includes a read only memory (ROM) 906 or any other static storage device coupled to the bus 910 for storing static information, including instructions, that is not changed by the computer system 900.
  • ROM read only memory
  • Non-volatile (persistent) storage device 908 such as a magnetic disk, optical disk or flash card, for storing information, including instructions, that persists even when the computer system 900 is turned off or otherwise loses power.
  • Information including instructions for recalling content based on contextual data, is provided to the bus 910 for use by the processor from an external input device 912, such as a keyboard containing alphanumeric keys operated by a human user, a microphone, an Infrared (IR) remote control, a joystick, a game pad, a stylus pen, a touch screen, or a sensor.
  • IR Infrared
  • a sensor detects conditions in its vicinity and transforms those detections into physical expression compatible with the measurable phenomenon used to represent information in computer system 900.
  • a display device 14 such as a cathode ray tube (CRT), a liquid crystal display (LCD), a light emitting diode (LED) display, an organic LED (OLED) display, a plasma screen, or a printer for presenting text or images
  • a pointing device 916 such as a mouse, a trackball, cursor direction keys, or a motion sensor, for controlling a position of a small cursor image presented on the display 914 and issuing commands associated with graphical elements presented on the display 914.
  • a pointing device 916 such as a mouse, a trackball, cursor direction keys, or a motion sensor, for controlling a position of a small cursor image presented on the display 914 and issuing commands associated with graphical elements presented on the display 914.
  • one or more of external input device 912, display device 914 and pointing device 916 is omitted.
  • special purpose hardware such as an application specific integrated circuit (ASIC) 920
  • ASIC application specific integrated circuit
  • the special purpose hardware is configured to perform operations not performed by processor 902 quickly enough for special purposes.
  • ASICs include graphics accelerator cards for generating images for display 914, cryptographic boards for encrypting and decrypting messages sent over a network, speech recognition, and interfaces to special external devices, such as robotic arms and medical scanning equipment that repeatedly perform some complex sequence of operations that are more efficiently implemented in hardware.
  • Computer system 900 also includes one or more instances of a communications interface 970 coupled to bus 910.
  • Communication interface 970 provides a one-way or two- way communication coupling to a variety of external devices that operate with their own processors, such as printers, scanners and external disks. In general the coupling is with a network link 978 that is connected to a local network 980 to which a variety of external devices with their own processors are connected.
  • communication interface 970 may be a parallel port or a serial port or a universal serial bus (USB) port on a personal computer.
  • USB universal serial bus
  • communications interface 970 is an integrated services digital network (ISDN) card or a digital subscriber line (DSL) card or a telephone modem that provides an information communication connection to a corresponding type of telephone line
  • ISDN integrated services digital network
  • DSL digital subscriber line
  • a communication interface 970 is a cable modem that converts signals on bus 910 into signals for a communication connection over a coaxial cable or into optical signals for a communication connection over a fiber optic cable.
  • communications interface 970 may be a local area network (LAN) card to provide a data communication connection to a compatible LAN, such as Ethernet. Wireless links may also be implemented.
  • LAN local area network
  • the communications interface 970 sends or receives or both sends and receives electrical, acoustic or electromagnetic signals, including infrared and optical signals, that carry information streams, such as digital data.
  • the communications interface 970 includes a radio band electromagnetic transmitter and receiver called a radio transceiver.
  • the communications interface 970 enables connection to the communication network 105 for recalling content based on contextual data to the UE 101.
  • Non-transitory media such as non-volatile media, include, for example, optical or magnetic disks, such as storage device 908.
  • Volatile media include, for example, dynamic memory 904.
  • Transmission media include, for example, twisted pair cables, coaxial cables, copper wire, fiber optic cables, and earner waves that travel through space without wires or cables, such as acoustic waves and electromagnetic waves, including radio, optical and infrared waves.
  • Signals include man-made transient variations in amplitude, frequency, phase, polarization or other physical properties transmitted through the transmission media.
  • Common forms of computer-readable media include, for example, a floppy disk, a flexible disk, hard disk, magnetic tape, any other magnetic medium, a CD-ROM, CDRW, DVD, any other optical medium, punch cards, paper tape, optical mark sheets, any other physical medium with patterns of holes or other optically recognizable indicia, a RAM, a PROM, an EPROM, a FLASH-EPROM, an EEPROM, a flash memory, any other memory chip or cartridge, a carrier wave, or any other medium from which a computer can read.
  • the term computer-readable storage medium is used herein to refer to any computer-readable medium except transmission media.
  • Logic encoded in one or more tangible media includes one or both of processor instructions on a computer-readable storage media and special purpose hardware, such as ASIC 920.
  • Network link 978 typically provides information communication using transmission media through one or more networks to other devices that use or process the information.
  • network link 978 may provide a connection through local network 980 to a host computer 982 or to equipment 984 operated by an Internet Service Provider (ISP).
  • ISP equipment 984 in turn provides data communication services through the public, world-wide packet-switching communication network of networks now commonly referred to as the Internet 990.
  • a computer called a server host 992 connected to the Internet hosts a process that provides a service in response to information received over the Internet.
  • server host 992 hosts a process that provides information representing video data for presentation at display 914. It is contemplated that the components of system 900 can be deployed in various configurations within other computer systems, e.g., host 982 and server 992.
  • At least some embodiments of the invention are related to the use of computer system 900 for implementing some or all of the techniques described herein. According to one embodiment of the invention, those techniques are performed by computer system 900 in response to processor 902 executing one or more sequences of one or more processor instructions contained in memory 904. Such instructions, also called computer instructions, software and program code, may be read into memory 904 from another computer-readable medium such as storage device 908 or network link 978. Execution of the sequences of instructions contained in memory 904 causes processor 902 to perform one or more of the method steps described herein. In alternative embodiments, hardware, such as ASIC 920, may be used in place of or in combination with software to implement the invention. Thus, embodiments of the invention are not limited to any specific combination of hardware and software, unless otherwise explicitly stated herein,
  • Computer system 900 can send and receive information, including program code, through the networks 980, 990 among others, through network link 978 and communications interface 970.
  • a server host 992 transmits program code for a particular application, requested by a message sent from computer 900, through Internet 990, ISP equipment 984, local network 980 and communications interface 970.
  • the received code may be executed by processor 902 as it is received, or may be stored in memory 904 or in storage device 908 or any other non-volatile storage for later execution, or both. In this manner, computer system 900 may obtain application program code in the form of signals on a carrier wave.
  • Various forms of computer readable media may be involved in carrying one or more sequence of instructions or data or both to processor 902 for execution.
  • instructions and data may initially be carried on a magnetic disk of a remote computer such as host 982.
  • the remote computer loads the instructions and data into its dynamic memory and sends the instructions and data over a telephone line using a modem.
  • a modem local to the computer system 900 receives the instructions and data on a telephone line and uses an infrared transmitter to convert the instructions and data to a signal on an infrared carrier wave serving as the network link 978.
  • An infrared detector serving as communications interface 970 receives the instructions and data earned in the infrared signal and places information representing the instructions and data onto bus 910.
  • Bus 910 carries the information to memory 904 from which processor 902 retrieves and executes the instructions using some of the data sent with the instructions.
  • the instructions and data received in memory 904 may optionally be stored on storage device 908, either before or after execution by the processor 902.
  • FIG. 10 illustrates a chip set or chip 1000 upon which an embodiment of the invention may be implemented.
  • Chip set 1000 is programmed to recall content based on contextual data as described herein and includes, for instance, the processor and memory components described with respect to FIG. 9 incorporated in one or more physical packages (e.g., chips).
  • a physical package includes an arrangement of one or more materials, components, and/or wires on a structural assembly (e.g., a baseboard) to provide one or more characteristics such as physical strength, conservation of size, and/or limitation of electrical interaction.
  • the chip set 1000 can be implemented in a single chip.
  • chip set or chip 1000 can be implemented as a single "system on a chip.” It is further contemplated that in certain embodiments a separate ASIC would not be used, for example, and that all relevant functions as disclosed herein would be performed by a processor or processors.
  • Chip set or chip 1000, or a portion thereof constitutes a means for performing one or more steps of providing user interface navigation infonnation associated with the availability of functions.
  • Chip set or chip 1000, or a portion thereof constitutes a means for performing one or more steps of recalling content based on contextual data.
  • the chip set or chip 1000 includes a communication mechanism such as a bus 1001 for passing infonnation among the components of the chip set 1000.
  • a processor 1003 has connectivity to the bus 1001 to execute instructions and process infonnation stored in, for example, a memory 1005.
  • the processor 1003 may include one or more processing cores with each core configured to perform independently,
  • a multi-core processor enables multiprocessing within a single physical package. Examples of a multi-core processor include two, four, eight, or greater numbers of processing cores.
  • the processor 1003 may include one or more microprocessors configured in tandem via the bus 1001 to enable independent execution of instructions, pipelining, and multithreading.
  • the processor 1003 may also be accompanied with one or more specialized components to perform certain processing functions and tasks such as one or more digital signal processors (DSP) 1007, or one or more application-specific integrated circuits (ASIC) 1009.
  • DSP digital signal processor
  • ASIC application-specific integrated circuits
  • a DSP 1007 typically is configured to process real-world signals (e.g., sound) in real time independently of the processor 1003.
  • an ASIC 1009 can be configured to perform specialized functions not easily performed by a more general purpose processor.
  • Other specialized components to aid in performing the inventive functions described herein may include one or more field programmable gate arrays (FPGA), one or more controllers, or one or more other special- purpose computer chips.
  • FPGA field programmable gate arrays
  • the chip set or chip 1000 includes merely one or more processors and some software and/or finnware supporting and/or relating to and/or for the one or more processors.
  • the processor 1003 and accompanying components have connectivity to the memory 1005 via the bus 1001.
  • the memory 1005 includes both dynamic memory (e.g., RAM, magnetic disk, writable optical disk, etc.) and static memory (e.g., ROM, CD-ROM, etc.) for storing executable instructions that when executed perfonn the inventive steps described herein to recall content based on contextual data.
  • the memory 1005 also stores the data associated with or generated by the execution of the inventive steps.
  • FIG. 1 1 is a diagram of exemplary components of a mobile terminal (e.g., handset) for communications, which is capable of operating in the system of FIG, 1 , according to one embodiment.
  • mobile terminal 1 101 or a portion thereof, constitutes a means for performing one or more steps of recalling content based on contextual data.
  • a radio receiver is often defined in terms of front-end and back-end characteristics. The front-end of the receiver encompasses all of the Radio Frequency (RF) circuitry whereas the back-end encompasses all of the base-band processing circuitry.
  • RF Radio Frequency
  • circuitry refers to both: (1 ) hardware-only implementations (such as implementations in only analog and/or digital circuitry), and (2) to combinations of circuitiy and software (and/or finnware) (such as, if applicable to the particular context, to a combination of processor(s), including digital signal processor(s), software, and memory(ies) that work together to cause an apparatus, such as a mobile phone or server, to perfonn. various functions).
  • circuitry refers to both: (1 ) hardware-only implementations (such as implementations in only analog and/or digital circuitry), and (2) to combinations of circuitiy and software (and/or finnware) (such as, if applicable to the particular context, to a combination of processor(s), including digital signal processor(s), software, and memory(ies) that work together to cause an apparatus, such as a mobile phone or server, to perfonn. various functions).
  • circuitry would also cover an implementation of merely a processor (or multiple processors) and its (or their) accompanying software/or firmware.
  • circuitry would also cover if applicable to the particular context, for example, a baseband integrated circuit or applications processor integrated circuit in a mobile phone or a similar integrated circuit in a cellular network device or other network devices.
  • Pertinent internal components of the telephone include a Main Control Unit (MCU) 1 103, a Digital Signal Processor (DSP) 1 105, and a receiver/transmitter unit including a microphone gain control unit and a speaker gain control unit.
  • a main display unit 1 107 provides a display to the user in support of various applications and mobile terminal functions that perform or support the steps of recall content based on contextual data.
  • the display 1 107 includes display circuitry configured to display at least a portion of a user interface of the mobile terminal (e.g., mobile telephone). Additionally, the display 1 107 and display circuitry are configured to facilitate user control of at least some functions of the mobile terminal.
  • An audio function circuitry 1 109 includes a microphone 1 1 1 1 and microphone amplifier that amplifies the speech signal output from the microphone 1 1 1 1.
  • the amplified speech signal output from the microphone 1 1 1 1 is fed to a coder/decoder (CODEC) 1 1 13.
  • CDDEC coder/decoder
  • a radio section 1 1 15 amplifies power and converts frequency in order to communicate with a base station, which is included in a mobile communication system, via antenna 1 1 17.
  • the power amplifier (PA) 1 1 19 and the transmitter/modulation circuitry are operationally responsive to the MCU 1 103, with an output from the PA 1 1 19 coupled to the duplexer 1 121 or circulator or antenna switch, as known in the art.
  • the PA 1 1 19 also couples to a battery interface and power control unit 1 120.
  • a user of mobile terminal 1 101 speaks into the microphone 1 1 1 1 and his or her voice along with any detected background noise is converted into an analog voltage.
  • the analog voltage is then converted into a digital signal through the Analog to Digital Converter (ADC) 1 123.
  • the control unit 1 103 routes the digital signal into the DSP 1 105 for processing therein, such as speech encoding, channel encoding, encrypting, and interleaving.
  • the processed voice signals are encoded, by units not separately shown, using a cellular transmission protocol such as enhanced data rates for global evolution (EDGE), general packet radio service (GPRS), global system for mobile communications (GSM), Internet protocol multimedia subsystem (IMS), universal mobile telecommunications system (UMTS), etc., as well as any other suitable wireless medium, e.g., microwave access (WiMAX), Long Term Evolution (LTE) networks, code division multiple access (CDMA), wideband code division multiple access (WCDMA), wireless fidelity (WiFi), satellite, and the like, or any combination thereof.
  • EDGE enhanced data rates for global evolution
  • GPRS general packet radio service
  • GSM global system for mobile communications
  • IMS Internet protocol multimedia subsystem
  • UMTS universal mobile telecommunications system
  • any other suitable wireless medium e.g., microwave access (WiMAX), Long Term Evolution (LTE) networks, code division multiple access (CDMA), wideband code division multiple access (WCDMA), wireless fidelity (WiFi), satellite,
  • the encoded signals are then routed to an equalizer 1 125 for compensation of any frequency-dependent impairments that occur during transmission though the air such as phase and amplitude distortion.
  • the modulator 1 127 combines the signal with a RF signal generated in the RF interface 1 129.
  • the modulator 1 127 generates a sine wave by way of frequency or phase modulation.
  • an up-converter 1 13 1 combines the sine wave output from the modulator 1 127 with another sine wave generated by a synthesizer 1 133 to achieve the desired frequency of transmission.
  • the signal is then sent through a PA 1 1 19 to increase the signal to an appropriate power level.
  • the PA 1 1 19 acts as a variable gain amplifier whose gain is controlled by the DSP 1 105 from information received from a network base station.
  • the signal is then Filtered within the duplexer 1 121 and optionally sent to an antenna coupler 1 135 to match impedances to provide maximum power transfer. Finally, the signal is transmitted via antenna 1 1 17 to a local base station.
  • An automatic gain control (AGC) can be supplied to control the gain of the final stages of the receiver.
  • the signals may be forwarded from there to a remote telephone which may be another cellular telephone, any other mobile phone or a land-line connected to a Public Switched Telephone Network (PSTN), or other telephony networks.
  • PSTN Public Switched Telephone Network
  • Voice signals transmitted to the mobile terminal 1 101 are received via antenna 1 1 17 and immediately amplified by a low noise amplifier (LNA) 1 137.
  • a down-converter 1 139 lowers the earner frequency while the demodulator 1 141 strips away the RF leaving only a digital bit stream.
  • the signal then goes through the equalizer 1 125 and is processed by the DSP 1 105.
  • a Digital to Analog Converter (DAC) 1 143 converts the signal and the resulting output is transmitted to the user through the speaker 1 145, all under control of a Main Control Unit (MCU) 1 103 which can be implemented as a Central Processing Unit (CPU).
  • MCU Main Control Unit
  • the MCU 1 103 receives various signals including input signals from the keyboard 1 147.
  • the keyboard 1 147 and/or the MCU 1 103 in combination with other user input components comprise a user interface circuitry for managing user input.
  • the MCU 1 103 runs a user interface software to facilitate user control of at least some functions of the mobile terminal 1 101 to recall content based on contextual data.
  • the MCU 1 103 also delivers a display command and a switch command to the display 1 107 and to the speech output switching controller, respectively.
  • the MCU 1 103 exchanges information with the DSP 1 105 and can access an optionally incorporated SIM card 1 149 and a memory 1 151 .
  • the MCU 1 103 executes various control functions required of the terminal.
  • the DSP 1 105 may, depending upon the implementation, perform any of a variety of conventional digital processing functions on the voice signals. Additionally, DSP 1 105 determines the background noise level of the local environment from the signals detected by microphone 1 1 1 1 and sets the gain of microphone 1 1 1 1 to a level selected to compensate for the natural tendency of the user of the mobile terminal 1 101. 10102]
  • the CODEC 1 1 13 includes the ADC 1 123 and DAC 1 143.
  • the memory 1 151 stores various data including call incoming tone data and is capable of storing other data including music data received via, e.g., the global internet.
  • the software module could reside in RAM memory, flash memory, registers, or any other form of writable storage medium known in the art.
  • the memory device 1 151 may be, but not limited to, a single memory, CD, DVD, ROM, RAM, EEPROM, optical storage, magnetic disk storage, flash memory storage, or any other non-volatile storage medium capable of storing digital data.
  • An optionally incorporated SIM card 1 149 carries, for instance, important information, such as the cellular phone number, the carrier supplying service, subscription details, and security information.
  • the SIM card 1 149 serves primarily to identify the mobile terminal 1 101 on a radio network.
  • the card 1 149 also contains a memory for storing a personal telephone number registry, text messages, and user specific mobile terminal settings.

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Abstract

L'invention concerne une approche pour rappeler un contenu sur la base de données contextuelles. L'approche consiste à déterminer un accès d'au moins un élément de contenu au niveau d'un dispositif. L'approche consiste en outre à déterminer des données contextuelles associées au dispositif, à un utilisateur du dispositif, à un ou plusieurs autres dispositifs, ou à une combinaison de ceux-ci au moins de manière sensiblement simultanée avec l'accès. L'approche consiste également à entraîner, au moins en partie, une association des données contextuelles avec au moins un élément de contenu. L'association supporte une ou plusieurs interrogations basées sur le contexte pour le ou les éléments de contenu.
PCT/CN2011/080338 2011-09-29 2011-09-29 Procédé et appareil de rappel de contenu sur la base de données contextuelles WO2013044476A1 (fr)

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