Abstract: An active chronicle comparison system using websites, including: a database unit for arranging and storing occurrence dates and contents of events that occurred for respective topics into the DB; an engine unit for operating in conjunction with the DB unit, and generating chronological table data using the contents and the occurrence dates of the events in the DB unit, upon receiving a request for inquiry of events; and a user terminal for operating in conjunction with the engine unit, and displaying the chronological table data generated by the engine unit.

Abstract: An apparatus, system, method, and program product are disclosed for digitally displaying and organizing personal multimedia content. A content module is configured to receive content associated with a user. The content includes one of user-generated content and third-party generated content. The content also includes an associated user rating. A chronological module is configured to present the content on a chronological interface. The chronological interface has an adjustable time period. An organization module is configured to organize the presented content associated with a time period such that content with a higher user rating is more prominently presented than content with a lower user rating.

Abstract: Systems and methods for generating recommendations based on data derived from a social network are described. For example, a first indirect connection of a source member profile may be identified. The first indirect connection is a member profile connected to the source member through a first connection path. A second indirect connection of the source member profile is also identified. The second indirect connection is a member profile connected to the source member through a second connection path. A selection is made between the first indirect connection and the second indirect connection based on a comparison of timing scores calculated for the indirect connections. The selected indirect connection is then surfaced to a client device associated with the source member profile.

Abstract: An affinity server estimates an affinity between two different time based media events (e.g., TV, radio, social media content stream), between a time based media event and a specific topic, or between two different topics, where the affinity score represents an intersection between the populations of social media users who have authored social media content items regarding the two different events and/or topics. The affinity score represents an estimation of the real world affinity between the real world population of people who have an interest in both time based media events, both topics, or in a time based media event and a topic. One possible threshold for including a social media user in a population may be based on a confidence score that indicates the confidence that one or more social media content items authored by the social media user are relevant to the topic or event in question.

Abstract: Disclosed herein are systems and methods for navigating electronic texts. According to an aspect, a method may include receiving search criteria for searching an electronic text. Further, the method may include determining text subgroups within the electronic text. The method may also include determining, for each text subgroup, a similarity relationship between the search criteria and the text subgroup. Further, the method may include presenting, for each text subgroup, a graphic representing the similarity relationship between the text subgroup and the search criteria.

Abstract: Concepts and technologies are disclosed herein for generating and using temporal metadata partitions. Metadata can be stored in temporal metadata partitions based upon a time range included in the metadata. Furthermore, metadata can be stored in multiple temporal metadata partitions to which the metadata is relevant. As such, metadata can be stored in manner that allows event data to be understood in the context of temporally accurate and/or relevant metadata. Functionality for executing queries of event data and providing results in view of metadata, as well as the merging of multiple temporal metadata partitions also are disclosed.

Abstract: A computer-implemented method of determining the relevance, to a user, of documents accessible over a computer network involves analyzing information relating to a first document, identifying a second document corresponding to the first document using a computer, obtaining information that indicates the relevance of a second document, determining the relevance of the first document using the information indicating relevance of the second document. The first document may be a mobile document, while the second may be a non-mobile document.

Abstract: A method by which a device searches for content is provided. The method includes: receiving a user input selecting a certain date among a plurality of dates included in a calendar displayed on a screen of the device; displaying a menu including at least one content search condition according to the selection of the date; receiving a user input selecting a content search condition from among the at least one content search condition included in the menu; searching for pieces of content related to the selected date according to the selected content search condition; and displaying found pieces of content according to a result of the searching.

Abstract: A method for providing chronologic information that is generated by placing one or more pieces of related information according to information about elapsed time is provided. The method includes the steps of obtaining, by an obtaining unit, (i) basic information associating pieces of the related information with the information about time indicating positions on the chronologic information and (ii) information indicating a display form of the chronologic information; and providing, by a control unit, the chronologic information to a user by displaying the chronologic information in a display unit based on the information indicating a display form of the chronologic information by using the basic information.

Abstract: Methods, and systems, including computer programs encoded on computer-readable storage mediums, including a method for adjusting content delivery based on user submissions. The method includes analyzing user submissions comprising photographs, the analyzing comprising: for each of the user submissions: identifying a time the user submission occurred; identifying objects represented in the photograph; determining a subject matter of the user submission based at least in part on the objects; determining a geographic location associated with the subject matter of the user submission; determining clusters of the user submissions, each user submission in a particular cluster being similar to each other user submission in the particular cluster based on the times the user submissions occurred, the subject matters of the user submissions, and the geographic locations associated with the user submissions; and adjusting content delivery to members of a network based on the determination of one or more of the clusters.

Abstract: A collaborative, semantic-based knowledge structure creation and management system and method are provided. The system and method may include knowledge structures which include concept based maps which may be linked according to topic, relationship types, conceptual equivalence, and temporally. The knowledge structures may be managed by users, wherein users may perform at least one of adding a new concept, creating a new relationship, confirming an existing relationship, and breaking an existing relationship.

Abstract: A method for searching Web pages that begins with the identification of query criteria entered into a search provider. A set of Web pages that satisfies the query criteria are determined. Then, a page ranking is ascertained for each Web page in the set. The Web pages are presented in order by page ranking. The page ranking is based upon at least one relevancy factor that includes a browsing-time factor. The browsing-time factor can be calculated from browsing behavior exhibited by users, who provided similar query criteria. The set of users from which the browsing-time factor is calculated can include a current user, a set of users sharing characteristics with the current user, and/or a general set of users. Browsing behavior can include time spent at a Web page, where the browsed Web page is a page that was previously presented as a search result for the similar query criteria.

Abstract: Disclosed are a method for providing a time machine service based on an SNS (social network service), including: extracting keywords based on SNS information input by SNS users and collecting rich contents relating to the SNS information based on the keywords; dividing points of past, present, and future, based on a predetermined present time period and classifying the rich contents into any one of past information, present information, and future information, based on the division result; and providing the classified rich contents to the SNS users.

Abstract: A computer-implemented method includes receiving, at a computer system, a question; identifying one or more first semantic elements in the question; selecting, from one or more electronic documents, a plurality of candidate responses to the question based on comparison of the one or more first semantic elements to second semantic elements; determining completeness scores for the plurality of candidate responses, wherein each of the completeness scores indicates how completely a corresponding candidate response from the plurality of candidate responses answers the question; determining relevance scores for the plurality of candidate responses, wherein each of the relevance scores indicates how relevant a corresponding candidate response from the plurality of candidate responses is to the question; and providing, by the computer system, at least a portion of the plurality of candidate responses based, at least in part, on the completeness scores and the relevance scores.

Abstract: Systems, methods, and computer applications and media for gathering, categorizing, sorting, managing, reviewing and organizing large quantities of multimedia items across space and time and using crowd-sourcing resources are described. Various implementations may enable either public or private (e.g., internal to an organization) crowdsourcing of multimedia item gathering and analysis, including the gathering, analysis, lead-searching, and classification of digital still images and digital videos. Various implementations may allow a user, such as a law enforcement investigator, to consolidate all of the available multimedia items into one system, and quickly gather, sort, organize, and display the multimedia items based on location, time, content, or other parameters. Moreover, an investigator may be able to create crowd source tasks as he works with the multimedia items and utilize crowd source resources when he needs help.

Abstract: Systems, methods, and computer-readable and executable instructions are provided for recommending print locations. Recommending print locations can include receiving recommendation, user, and geographic information for a first mobile print location (MPL) and a second MPL. Recommending print locations can also include indexing the recommendation, user, and geographic information for each of the first MPL and the second MPL as an automatically created uniform resource indicator (URI) on an MPL system. Furthermore, recommending print locations can include ranking the first MPL and the second MPL based on the recommendation, user, and geographic information and presenting a list, via a user interface, of the ranked first MPL and the second MPL.

Abstract: Disclosed is a system and method for recommending web content to a second screen. A server computer analyzes closed captioning text associated with a media program being experienced in a time period by a user having a client device. In response to the analyzing of the closed captioning text, the server automatically extracts an entity from the closed captioning text and determines an online web page describing the entity. The server utilizes a graph model to retrieve a relevant information item for the entity, where the graph model includes a plurality of entity nodes and a plurality of query nodes. The server communicates, within the time period, the relevant information item to the client device.

Abstract: A method for determining a relatedness between a query video and a database video is provided. A processor extracts an audio stream from the query video to produce a query audio stream, extracts an audio stream from the database video to produce a database audio stream, produces a first-sized snippet from the query audio stream, and produces a first-sized snippet from the database audio stream. An estimation is made of a first most probable sequence of latent evidence probability vectors generating the first-sized audio snippet of the query audio stream. An estimation is made of a second most probable sequence of latent evidence probability vectors generating the first-sized audio snippet of the database audio stream. A similarity is measured between the first sequence and the second sequence producing a score of relatedness between the two snippets. Finally a relatedness is determined between the query video and a database video.

Abstract: A system and method are provided for associating location data from one or more unique sources. The place and time of a unique location enabled device are associated with stored demographic information relating to the particular place and particular time. The place and time of the unique location enabled device are associated with a historical record of past locations and time of locations that the device has been. Based on the association of demographical information and historical information, the unique location enabled device is assigned to one or more groups or tribes. The location of all members of the group or tribe can be aggregated and exported for further analysis or display, thereby showing all group or tribe members at a particular time and place.

Abstract: Described herein is a technology that facilitates efficient automated mining of topic-related aspects of user-generated content based on automated analysis of the user-generated content. Locations are automatically learned based on dividing documents into document segments, and decomposing the segments into local topics and global topics. Techniques are described that facilitate automatically extracting snippets. These techniques include, for example, computer annotating travelogues with learned tags and images, performing topic learning to obtain an interest model, performing location matching based on the interest model, calculating geographic and semantic relevance scores, ranking snippets based on the geographic and semantic relevance scores, and searching snippets with a “location+context term” query.

Abstract: The technology disclosed relates to representing users in different contexts within customer relationship management (CRM) environments. In particular, it relates to creating a person object model for each user in the CRM environment by linking a plurality of user records in the CRM environment that is separately created by different organizations and departments. The person object model also incorporates online social identities of the users, according to one implementation. This inclusive linked model provides a comprehensive view of the users to handlers of the CRM environment, thus facilitating an enhanced overall CRM experience.

Abstract: Computer-implemented method, system, and techniques for summarization, searching, and indexing of video are provided, wherein data related to objects detected in the video in a selected time interval is received and the objects are clustered into clusters such that each cluster includes objects that are similar in respect to a selected feature or a combination of features. A video summary is generated based on the computed clusters.

Abstract: A system and method for generating a personalized trends module includes steps of: for a given user, producing a social timeline by logging content posted on the given user's accounts on social media sites; analyzing the social timeline for recently posted content to derive an interim summary of first trending topics for the given user; receiving from a content personalization platform an in-stream feed of second trending topics based on the user's recent on-line activity including page views, queries, and clicks; augmenting the social timeline with the second trending topics from the in-stream feed to produce an interim list of third trending topics; ranking the third trending topics by source category using a frequency index; selecting the highest ranking third trending topics from each source category; and presenting a personalized trends module with positions allocated to the highest ranking third trending topics.

Abstract: Embodiments of the present application relate to a method, a system, and a computer program product for providing recommended terms. A method for providing recommended terms is provided. The method includes determining a search query input by a user and an input time point when the search query was input, determining whether the input time point falls within a time range preset within a current time period, if the input time point falls within the time range preset within the current time period, determining whether the search query is present in a word bank preset for the time range, and if the search query is present in the word bank, providing the user with a special event recommended term preset for the time range.

Abstract: In one general aspect, a wide area network fact information service method is disclosed. This method includes storing a plurality of canonical fact entries, storing one or more fact descriptor entries for each of the canonical fact entries, and ranking the canonical fact entries relative to each other based on the descriptor entries.

Abstract: In one embodiment, a method includes accessing N electronic media-content items and a plurality of media-content templates, where each of the media-content templates includes a pre-determined number of surface areas for a pre-determined number of media-content items. The method includes scoring, based on one or more features, for each of one or more of the media-content templates, the placement of X of the electronic media-content items in the media-content template, where X equals the lesser of N and the pre-determined number of surface areas of the media-content template. The method includes selecting one of the media-content templates with a highest score and providing the X electronic media-content items in the selected media-content template for display to a user.

Abstract: A method for ranking events in media collections includes designating a media collection, using a processor to cluster the media collection items into a hierarchical event structure, using the processor to identify and count visually similar sub-events within each event in the hierarchical event structure, using the processor to determine a ranking of events based on the count of sub-events within each event, and associating the determined ranking with each event in the media collection.

Abstract: A system determines a first rank associated with a document and determines a second rank associated with the document, where the second rank is different from the first rank. The system also changes, during a transition period that occurs during a transition from the first rank to the second rank, a transition rank associated with the document based on a rank transition function that varies the transition rank over time without any change in ranking factors associated with the document.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for determining temporal based score adjustments are provided. One method includes receiving a query and obtaining a score for responsive documents. The method further includes adjusting the scores for the documents according to an age classification for one or more related queries for the documents. Another method includes storing popularity data for queries over time; identifying a query and associated extended queries from the popularity data, and storing time trend data associating the query and one or more periods of time with a respective extended query. Another method includes storing popularity data for queries over time, obtaining scores for documents responsive to a query submitted at a first time, and adjusting the scores for one the documents according to whether the first time is within a popularity change time window for one or more related queries for the documents.

Abstract: Data is received by a content management system that identifies a first document managed by the content management system. Thereafter, the first document is associated with a first user that authored or edited the first document. Subsequently, the first user is associated with at least one chained document different from the first document that has at least one pre-defined attribute associated with the first user. Data can then be provided that characterizes the at least one chained document. Related apparatus, systems, techniques and articles are also described.

Abstract: A method and system are provided for searching video scenes. The method includes receiving user inputs specifying one or more titles of one or more respective video contents and an item relating to one or more scenes in the video contents. The method further includes performing a scene-based search using the one or more titles and the item as search criteria to obtain search results corresponding to individual scenes in the video contents associated with the item. The method also includes providing the search results to a user on a display device.

Abstract: Architecture that performs the automatic modeling of user preferences for entities (a personal entity preference model) based on user's actions such as search history and temporal search behavior to determine content on the web relevant and of interest to a given user at any given time. Explicit and implicit user responses (e.g., notification clicks, ignore, dismiss, unsubscribe, notification dwell) are used to update the model of user entity preferences. The user entity preference model is used to order notifications based on predicted relevance. Additionally, the user personal entity preference model and implicit responses of user are used to decide timing and frequency of notifications.

Abstract: Methods, systems, and apparatus, including computer program products, for searching for and presenting backups. A first search result including a first version of an item is presented. The first version is associated with a first date range having a first start date and a first end date. User input requesting that an archive including one or more versions of the item be searched is received. A second search result including a second version of the item is presented. The second version is different from the first version. The second version is associated with a second date range having a second start date and a second end date. The second date range does not overlap with the first date range.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for distributing and presenting of electronic content. One method provides an enhanced ordering of ranked documents, in which one or more lists of documents that have been published in a web feed, a time that each document was published in the web feed, and a content-based ranking of a ranked subset of the documents are obtained, the documents collectively including ranked documents which are members of the ranked subset of the documents, and unranked documents which are not members of the ranked subset of the documents. Furthermore, a user interface is provided which displays links to a plurality of the ranked documents, ordered according to the content-based ranking, and which simultaneously displays links to a plurality of the unranked documents, ordered chronologically based on the time that each respective document was published in the web feed.

Abstract: A method, system, and a computer program product for querying a database. The system includes: a storage means; a processor communicatively coupled to the storage means; and a feature selection module communicatively coupled to the storage means and the processor, wherein the feature selection module is configured to perform the steps of a method including: storing a database in the storage means, the database including a time field; extracting data in a predetermined period from a current time from the database; sorting the data by the time field; buffering the sorted data in a main memory; receiving a query including time; and outputting the data buffered on the basis of the time field as a stream.

Abstract: Techniques are described for processing a query to produce query results, the query specifying at least a first timestamp value. Embodiments receive the query for processing and access a database index containing a plurality of database keys. The database index contains one or more database index keys, each of which includes at least a timestamp value and a time zone value. Embodiments compare the first timestamp value specified in the query with a portion of one the database index keys to locate at least a portion of the query results. More specifically, the compared portion of the database index key excludes the time zone value. The located portion of the query results is then retrieved.

Abstract: In one embodiment, access a set of recency ranking data comprising one or more recency search queries and one or more recency search results, each of the recency search queries being recency-sensitive with respect to a particular time period and being associated with a query timestamp representing the time at which the recency search query is received at a search engine, each of the recency search results being generated by the search engine for one of the recency search queries and comprising one or more recency network resources. Construct a plurality of recency features from the set of recency ranking data. Train a first ranking model via machine learning using at least the recency features.

Abstract: Data series are stored at multiple resolutions in a computer-readable data storage medium. In particular, time series data values of the data series are received with associated timestamps. Corresponding storage elements in the computer-readable data storage medium are identified based on the time stamps. Aggregate values are determined by summing the time series data values. The time series data values stored in the corresponding storage elements are replaced by the aggregate values. Combined data values of the aggregate values are stored in storage elements in the computer-readable storage medium at a first resolution and second resolution, where the second resolution is half of the first resolution.

Abstract: Systems, devices, features, and methods for updating a geographic database, such as a navigation-related database, and/or reporting discrepancies associated with geographic data of the geographic database are disclosed. For example, one method comprises capturing a photograph of an observed geographic feature in a geographic region. Comment information corresponding to the observed geographic feature may be stored. The comment information is indicative of a discrepancy between the observed geographic feature and the geographic data corresponding to the geographic region. The comment information may be associated with the photograph to generate a report, and the report is transmitted.

Abstract: A search engine may allow a user to add and modify geographic constraints interactively through the use of a map. In one example, the user enters a search query, and the search engine determines whether the query is amenable to a geographic constraint. If the query is amenable to a geographic constraint, then the search engine may provide an interactive map through which the user may specify a geographic boundary. The search engine may then uses the geographic boundary as a constraint on the search, and may return documents that relate to the geographic area indicated by the boundary. The user may zoom in or out on the region defined by the boundary, or may move the boundary, thereby interactively focusing, de-focusing, and modifying the search based on geography.

Abstract: A universal video-related lookup system and method receives a request for information associated with specific video content from a requesting device. The system and method identify a first video content identifier associated with the specific video content and retrieves first metadata associated with the specific video content based on the first video content identifier. Next, the system and method translate the first video content identifier into a second video content identifier associated with the specific video content and retrieves second metadata based on the second video content identifier. The first metadata and the second metadata are then provided to the requesting device.

Abstract: A computer-implemented method is provided for ranking files from an Internet search. In one embodiment, the method comprises assigning a score to each file based on at least one of the following factors: recency, editorial popularity, clickthru popularity, favorites metadata, or favorites collaborative filtering. The file may be organized based on the assigned scores to provide users with more accurate search results.

Abstract: System and method for recommending to a member of a social network an interaction with ones of a plurality of entities. Events related to individual ones of the plurality of entities are obtained. A relevance of ones of the events to the member is determined based on at least one characteristic of ones of the events and a trait of the member. Recommended interactions with ones of the plurality of entities individually related to the ones of the events based on the relevance for each of the events are presented to the user.

Abstract: The present invention extends to methods, systems, and computer program products for training a classification model to predict categories. In one implementation, a method identifies category mappings generated for dominant queries associated with a query log. The method identifies mappings between a first set of queries and categories shown for the first set of queries, and identifies mappings between a second set of queries and clicked products for the second set of queries. A classification model is trained based on the mappings generated for dominant queries, the mappings between queries and the shown categories, and the mappings between queries and the clicked products.

Abstract: Methods and apparatus, including computer program products, are provided for storing data in a database. The data, whose structures are configurable, may comprise a time series, the time series comprising a set of key figure values of individual time periods, the key figure values being associated with a combination of parameter values, wherein the set of key figure values is organized in a number of configurable clusters.

Abstract: Information associated with responses and requests that result from one or more selections of a webpage component is collected. The webpage component corresponds to at least one identifier. At least one set including the at least one identifier and the collected information associated with the responses and requests is determined. A destination webpage for the webpage component corresponding to the webpage component based at least on the information associated with the responses and requests is determined.

Abstract: A system and method for communicating search results. User input is received to perform a search of a communications network. The search is performed based on the user input to generate search results. The search results and multiple selection elements are displayed for communicating each of the search results to one or more receiving parties. A user selection of one or more of the multiple selection elements associated with one or more receiving parties is received. The search results are communicated to the one or more receiving parties in response to the user selection.

Abstract: A method of constructing a database for a database application, the method involving for each of a plurality of transactions, receiving input from a user via the database application; constructing a corresponding record that embodies the received input for that transaction; appending a time address to the corresponding record for that transaction, wherein the time address identifies when the corresponding transaction was completed; and storing the corresponding record for that transaction in a non-volatile data storage, wherein the time address for that corresponding record is permanently associated with that stored corresponding record and wherein the database application during normal operation prevents any overwriting of that stored corresponding record with any other record.

Abstract: An electronic device with one or more processors, memory, and a display detects a first trigger event and, in response to detecting the first trigger event, collects a audio sample of environmental audio data associated with a media item. The device transmits information corresponding to the audio sample to a server. In response to transmitting the information, the device obtains attribute information corresponding to the audio sample, where the attribute information includes metadata for the media item, a time indicator of a position of the audio sample in the media item, and stream information for the media item. The device displays a portion of the attribute information. The device detects a second trigger event and, in response to detecting the second trigger event: determines a last obtained time indicator; streams the media item based on the stream information; and presents the media item from the last obtained time indicator.

Abstract: A system and method for context based query augmentation. A question is received over a network from a questioning user comprising an identification of a user and at least one question criteria. A first query is formulated so as to search for user profile data, social network data, spatial data, temporal data and topical data in order to identify user context data relevant to question criteria. The question is modified using the user context data to create at least one modified question having at least one additional criteria based on the user context data. A second query is formulated so as to search for knowledge data, user profile data, social network data, spatial data, temporal data and topical data in order to identify knowledge data relevant to the identified user and the modified question criteria. The knowledge data is transmitted to the questioning user.