Abstract: A method for searching and ranking personalized videos includes receiving a user request via a communication chat between a user and another user. The user request includes a phrase. The method performs, based on the phrase, a search in a first pool of pre-rendered videos to determine a first subset of relevant videos ranked according to first rankings. The pre-rendered videos include pre-rendered text messages. The method performs a search in a second pool of customized videos to determine a second subset of relevant videos ranked according to second rankings. The customized videos include text messages modified by the user. The method generates a set of videos. The set of videos includes a first number of pre-rendered videos from the first subset of relevant videos and a second number of customized videos from the second subset of relevant videos. The method presents the set of videos via the communication chat.

Abstract: A system including one or more processors and one or more non-transitory computer-readable media storing computing instructions configured to run on the one or more processors and perform using a plugin system in a user interface to identify each ingredient in an ingredient list of a recipe published on a webpage shown on the user interface; identifying query strings from content on the webpage associated with one or more ingredients of the recipe; identifying one or more respective recipe products and a respective quantity for each of the one or more ingredients; locating a respective catalog product in an online catalog for each of the one or more respective recipe products; automatically generating a list of catalog products; automatically generating a link comprising the list of catalog products; automatically redirecting the user interface to an online retail website; and automatically adding the list of catalog products to an electronic shopping cart. Other embodiments are disclosed.

Abstract: According to one aspect, a computer system configured to access distributed data is provided. The system comprising a memory including a plurality of data sources, a plurality of processors, and a pattern matching component executed by at least one processor of the plurality of processors and configured to execute a query execution plan using a first processor of the plurality of processors concurrently with a second processor of the plurality of processors, wherein the first processor processes a first data source of the plurality of data sources identified in the query execution plan and the second processor processes a second data source of the plurality of data sources identified in the query execution plan.

Abstract: Certain example embodiments described herein relate to techniques for user feedback driven dynamic query rewriting in complex event processing (CEP) environments. In certain example embodiments, the adjustment of already-initiated queries may be permitted during runtime in order to help continuously or substantially continuously meet a user's requirements. In certain example embodiments, parameters of a query may be adapted dynamically, e.g., without the need to redeploy it. Adaptable parameters in certain example embodiments may be identified and/or based on, for instance, an automatic determination from original query creation, user specifications, the way in which a user interacts with a user interface for visualizing the results of queries, etc.

Abstract: A system and method for displaying changes in trending topics to a user in a network environment is described. The method includes retrieving a first group of content items, generating a first group of topics for the first group of content items, and displaying a first display to the user. The method further includes retrieving a second group of content items, generating a second group of topics for the second group of content items and zero or more first content items from the first group of content items, determining a similarity or dissimilarity between a second topic from the second group of topics and a first topic from the first group of topics, and displaying a second display which includes the result of determining a similarity or dissimilarity.

Abstract: Methods, systems, and computer program products for processing database query results. Database query results are retrieved from a database. The database query results are classified according to multiple, distinct categories and at least one of the database query results for each of the multiple categories is stored as a featured result and then provided to a client device upon receipt of a travel search request from an end user of the client device.

Abstract: An n-gram and/or phrase extraction model may be trained based at least in part on search-focused information mined from a search-query log. The n-gram and/or phrase extraction model may extract key n-grams and/or phrases from retrieved electronic documents based at least in part on features and/or characteristics of the key n-grams and/or phrases and based at least in part on features and/or characteristics of the search-focused information. The extracted key n-grams and/or phrases may be weighted. A relevancy ranking model may be trained based at least in part on the information extracted by the n-gram and/or phrase extraction model. The relevancy ranking model may provide a relevancy ranking score for electronic documents listed in a search result based at least in part on weights of extracted key n-grams and/or phrases.

Abstract: A plurality of description phrases associated with a first domain may be determined, based on an analysis of a first plurality of documents to determine co-occurrences of the description phrases with one or more name labels associated with the first domain. An entity associated with the first domain may be obtained. An analysis of a second plurality of documents may be initiated to identify co-occurrences of mentions of the obtained entity and one or more of the plurality of description phrases, and contexts associated with each of the co-occurrences of the mentions and description phrases, in each one of the second plurality of documents. A description tag association between the obtained entity and one of the description phrases may be determined, based on an analysis of the identified contexts.

Abstract: A question conversion engine converts terms and phrases used in a user's question into terms and phrases that are more likely to produce information containing the search terms. The question conversion engine parses a user's question to associate each term in the user's question with a part of speech and to eliminate extraneous terms in the user's question. A term/phrase replacement map is used to replace terms and/or phrases in the user's question with replaced terms and phrases that are more likely to produce relevant information. The question conversion engine matches the user's question to a declarative expression thereby altering the semantics of the question into an expression that is more likely to produce optimum search results.

Abstract: Determining preference activities to present to a current user includes: obtaining a plurality of candidate preference activities; determining a recommendation weight for one of the plurality of candidate preference activities with respect to the current user; and presenting at least some of the plurality of candidate preference activities based on recommendation weights corresponding to the plurality of candidate preference activities.

Abstract: A search query is received from a single input field of a user interface. A keyword search is performed based on the search query to generate keyword search results. A natural language search is performed of a frequently-asked question (FAQ) database based on the search query to generate FAQ search results. The keyword search results and the FAQ search results are combined in a display page.

Abstract: Conceptually related term identification technique embodiments are presented that involve identifying in the results of a search query, terms that are conceptually related to the search query terms. In one general embodiment, this is accomplished by first inputting the terms employed in a search query and the results of the search. Word tokens found in the search query terms are then identified, as are potential phrases that can be made from the identified word tokens. Conceptually related words and phrases are then identified in the search query results. These words and phrases correspond to the previously identified word tokens and potential phrases. The search query results are presented to a user on a display device in such a manner as to visually distinguish the conceptually related words and phrases from other words and phrases in the search query results.

Abstract: Methods, systems, and computer-readable media for suggesting search queries to a user while the user is typing in characters of a search query. The suggested search queries are based in part on the characters entered and are presented before the user submits the query to the search engine. The suggested queries may be displayed in a dropdown box that allows the user to select one of the suggested queries. Embodiments of the present invention present search queries that do not begin with the characters entered by the user.

Abstract: A human or hand-labeled ranking of URL results for a search query is compared against actual click data for the respective query/URL pairs (e.g., which URLs were actually clicked on by users when the URLs were presented to users when the search query was run in the real world). The human ranking or ordering of the URL results (e.g., pre-existing relevance ranking) for the query can then be adjusted, if necessary, based upon the real world click data (e.g., click relevance ranking). The modified pre-existing relevance ranking can be used in providing future search results.

Abstract: Given a set of documents relevant to a litigation hold and a seed set of custodians, a second set of custodians can be generated and suggested to a user. After receiving a seed set of keywords and/or custodians, documents are identified based on their relevance. Relevant documents are searched for custodian names, and appropriate custodian names are presented to a user. Additionally, based on a first set of custodians, a suggested set of custodians can be provided to a user based on relationships between the sets of custodians.

Abstract: A method for determining relevance for activity feeds is disclosed. Activity feeds are received from one or more business entities. Information is received regarding activities being performed by a user. Context information is received regarding the user. A user context is determined from the information the regarding activities being performed by the user and the context information. The user context indicates the current status of the user. A relevance of the activity feeds is determined based on the user context. At least some of the activity feeds are displayed on a computing device. The at least some of the activity feeds are displayed according to a priority determined by the relevance.

Abstract: Techniques are disclosed for configuring an identity resolution system to support distinct relevance types. Identity records are accessed that are assigned relevance scores of distinct relevance types. Upon determining that the identity records refer to a common individual, the identity records are resolved into an entity representing the common individual. Relevance scores of the distinct relevance types are then determined for the entity, based on the identity records.

Abstract: A computer-implemented matching service matches users to other users, and/or to user communities, based at least in part on a computer analysis of event data reflective of user behaviors. The event data may, for example, evidence user affinities for particular items represented in an electronic catalog, such as book titles, music titles, movie titles, and/or other types of items that tend to reflect the traits of users. Event data reflective of other types of user actions, such as item-detail-page viewing events, browse node visits, search query submissions, and/or web browsing patterns may additionally or alternatively be considered. By taking such event data into consideration, the matching service reduces the burden on users to explicitly supply personal profile information, and reduces poor results caused by exaggerations and other inaccuracies in such profile information.

Abstract: One embodiment provides a system for comparing documents based on different document-similarity calculation methods using adaptive weighting. During operation, the system receives at least two document-similarity values associated with two documents, wherein the document-similarity values are calculated by different document-similarity calculation methods. The system then determines the weight of a respective document-similarity calculation method for each of the two documents, as well as a weight-combination function for calculating a combined weight of the respective document-similarity calculation method associated with the two documents. Next, the system generates a combined similarity value based on the document-similarity values and the weight-combination function.

Abstract: A service is disclosed for enabling web sites and other entities to provide item recommendations and other behavior-based content to end users. The service can be implemented as a web service that is remotely accessible over the Internet. Web sites use the web service's interface to report events descriptive of item-related actions performed by end users (e.g., item views, item purchases, searches for items, etc.). The web service analyzes the reported event data on an aggregated basis to detect various types of associations between particular items, and stores resulting datasets that map items to associated items. The web service's interface also provides various API calls for enabling the web sites to request item recommendations and other behavior-based content, including but not limited to personalized recommendations that are based on the event history of the target user. Advantageously, the web sites need not host the infrastructure for providing such content.

Abstract: Apparatus, systems and methods for predictive query identification for advertisements are disclosed. Candidate query are identified from queries stored in a query log. Relevancy scores for a plurality of web documents are generated, each relevancy score associated with a corresponding web document and being a measure of the relevance of the candidate query to the web document. A web document having an associated relevancy score that exceeds a relevancy threshold is selected. The selected web document is associated with the candidate query.

Abstract: Embodiments of a system and method are provided for ranking the contents of one or more documents, applications, sound or visual media through human assistance. The system comprises one or more search engines configured to provide one or more documents, applications, sound or visual media based on a search query sent by a user. Further, the system comprises a client application configured to capture the query sent by the user and the keyword tags provided by the documents, applications, sound or visual media author. The client application monitors one or more interactions of the user with the one or more documents, applications, sound or visual media for one or more events and provides a relevance measure to the one or more documents, applications, sound or visual media based on the captured query or tags, and the one or more events.

Abstract: A computer-readable medium stores a program causing a computer to execute information processing. The information processing includes: reading user information of a user who requests to provide first document information; generating second document information, based on (i) concealment region information associated with the first document information and (ii) the read user information relating to the user; and outputting the second document information. The concealment region information includes (i) information, for specifying a region that is to be concealed when the associated first document information is provided and (ii) concealment condition information used to determine as to whether or not the concealment region is concealed. In the second document information, a region in the first document information that is to be concealed from the user is concealed.

Abstract: A process for performing a search of data includes creating a search index of a data base system comprising data associated with an enterprise business application (e.g., a Customer Relationship Management (CRM) application) and user information associated with a plurality of users of the enterprise business application. The process searches the database system via the search index based on a received search query from a first user of the plurality of users, and determines the relevancy of identified search results to the first user based on one or more attributes of the first user (e.g., an algorithm that takes into account user profile information, social network information, strength of contact or connection to other users, and so on). The process further includes communicating at least a portion of the search results to the first user for display.

Abstract: Methods are provided for identifying media files that are related to a user-selected media file. Initially, a first set of media files that have previously been determined to be related to the selected media file is identified. It is determined that the number of media files in the first set of media files does not exceed a minimum number. A query is constructed based on the title or description of the selected media file to locate more related media files. A media database is searched and the results are combined with the first set of media files to be displayed.

Abstract: A system and method for identifying topics for short text communications is provided. Tokens are extracted from a short text communication. A query is generated using the extracted tokens. The query is applied to a set of documents. Those documents in the set that match the query are identified as search results. Salient terms associated with each of the search results are identified. A threshold is applied to the identified salient terms. The salient terms that satisfy the threshold are selected as topics for the short text communication.

Abstract: Disclosed herein are systems, methods, and computer-readable storage media for receiving a user's spoken search query that the system will incrementally recognize and identify search terms. After the query has been incrementally recognized, the system will use the search terms to retrieve a portion of the search results that are based on usable identified search terms. As the results are found, the system will then output at least part at least part of the retrieved portion of search results on the display prior to the user concluding his or her search query.

Abstract: An improved system and method for identifying context-dependent term importance of queries is provided. A query term importance model is learned using supervised learning of context-dependent term importance for queries and is then applied for advertisement prediction using term importance weights of query terms as query features. For instance, a query term importance model for query rewriting may predict rewritten queries that match a query with term importance weights assigned as query features. Or a query term importance model for advertisement prediction may predict relevant advertisements for a query with term importance weights assigned as query features. In an embodiment, a sponsored advertisement selection engine selects sponsored advertisements scored by a query term importance engine that applies a query term importance model using term importance weights as query features and inverse document frequency weights as advertisement features to assign a relevance score.

Abstract: Disclosed is a method and computer program product of determining the relevance of at least a part of an electronic document comprising a plurality of terms distributed over a plurality of regions of said document, comprising displaying the electronic document to a user; determining the gaze characteristics of the person on a region of the electronic document; assigning a relevance score to an individual term in said region based on said characteristics; and generating a term relevance label for said electronic document, said term relevance label comprising relevance scores for the respective individual terms in said document The relevance scores may also be used to define a user profile for the user that can aid in retrieving future documents of relevance to the user.

Abstract: A method and system for intelligent job assignment between multiple assignees and at least one client through an electronic communications network is disclosed. The method enables a business to consistently and systematically provide its customers with the best possible quality, in the shortest period of time, at the lowest possible cost, at any given time, given its current talent pool. The method includes ordering a database of qualifying assignees with a highest qualifying assignee ordered most significantly. The method also includes assigning a client's job to the most significant assignee and receiving feedback to from the client concerning an assignee's job performance and computing a cumulative qualifying value for the assignee based on the performance feedback included with any feedback received from any other client.

Abstract: Systems, methods and computer program products are provided for assigning content category scores to nodes of a linked database. The nodes of the linked database include linking nodes and linked nodes. Each linking node is assigned a linking node score for each content category. The linking node score for each content category represents a degree of relevancy of the linking node to the content category. Each of the linked nodes is linked to by at least one of the linking nodes. Each linked node is assigned a content category score for each content category. The content category score for each content category is based on the linking node score for said content category of each linking node that links to the linked node.

Abstract: A content provider has an associated database. The database is indexed with a plurality of content items available in a domain. The database includes a field to indicate an availability of each of the content items from the content provider. The database is searched based on a search query entered by a user to generate a search result list. The search result list may include a content item that is identified as being unavailable from the content provider based on the field. If so, the search result list is provided to the user to indicate the content item and to indicate that the content item is unavailable from the content provider. A user feedback control associated with the content item is also provided to the user. The user feedback control is to provide feedback from the user if the user desires the content provider to make the content item available.

Abstract: A system is provided for locating peers having a desired expertise. User profile information is stored in a profiles database. A search engine indexes the profiles database and appends appropriate profile tags to this information. A peer relevancy algorithm searches for candidate peers among the indexed user profile information. Weights are assigned to candidate peers based on different categories of the indexed user profile information, and peer matches are selected based on the assigned weights. In order to provide matches that are most likely to accept a connection request, data is maintained as to which potential peers have a history of accepting requests to connect and which have a history of refusing to connect. Potential matches are biased to favor those that have a tendency to accept connection requests. Contact information of requester and recipients are not disclosed until the recipient accepts the requester's connection request.

Abstract: The invention relates to a system (100) for identifying a certain data-object of a set of data-objects, wherein each data-object of the set of data-objects is described by a plurality of discriminating characteristics, the system comprising: a composition unit (110) for composing a query for identifying the certain data-object; an identification unit (120) for identifying a candidate data-object of the set of data-objects, based on the query; a presentation unit (130) for presenting a description of the candidate data-object to a user; a feedback unit (140) for receiving user feedback on a discriminating characteristic of the plurality of discriminating characteristics, the discriminating characteristic describing the candidate data-object; and an update unit (150) for updating the query for identifying the certain data-object, based on the user feedback on the discriminating characteristic describing the candidate data-object.

Abstract: In an interactive program search apparatus (100) which presents search condition candidates for expanding or narrowing down search results, reason words indicating the reason why the search condition candidates are presented are adaptively determined based on user's preference, search actions, and watching actions. An association-source word extracting unit (109) extracts an association-source word from the program search results, and an associated word extracting unit (110) extracts associated words associated with the association-source word, from an association dictionary storage unit (103). A reason word extracting unit (111) extracts reason words illustrating the relationships between the association-source word and the associated words, using the association-source word, the associated words, and the obtainment history information composed of words included in the program information of the programs selected by the user in the past and selected words among the words.

Abstract: A system for presenting keywords obtained from users in a review process. The keywords are displayed along with a use value that reflects the number of times users have voted or selected the keyword as being relevant or effective in a review of a product. The keywords can be used to assist consumers in deciding whether to purchase a product or a service, in determining a brand's reputation, or for other purposes. Keywords can be ranked according to usage criteria such as the frequency of use of the keyword in reviews, the reputation of a user/reviewer who created or used the keyword, etc. Rankings can be dynamically updated when keyword usage changes. Such as when a keyword declines in popularity, when words change in meaning or become obsolete or irrelevant with respect to their original intent, etc. Keywords can be used as filters for product searches.

Abstract: A method and system for providing a user interface for presenting images of clusters of an image search result is provided. The user interface system displays the search result in a cluster/view form using a cluster panel and a view panel. The cluster panel contains a cluster area for each cluster. The view panel may contain thumbnails of images of the search result in a list view or a mix view. When a user selects a cluster area from the cluster panel, the user interface system displays a list view of thumbnails for that cluster in the view panel. The user interface system may display a thumbnail list near a cluster area of the cluster panel. The thumbnail list contains mini-thumbnails of the images of the selected cluster. The user interface system may also display a detail view of an image in the view panel when a user selects an image.

Abstract: Improved mobile content presentation capabilities are disclosed for mobile communications facilities, such as cell phones. Information relating to the user characteristics associated with a mobile communication facility and other capabilities are employed to improve the presentation and relevance of mobile content to appropriate or desirable mobile communication facilities.

Abstract: A plurality of subtechnologies is identified in which each of the plurality of subtechologies may be defined or characterized by a common granularity level. Thereafter, a plurality of subtechnology interconnectivities, relating to two or more of the identified plurality of subtechnologies, may correspondingly be identified. In one embodiment, a plurality of subtechnology profiles may be generated, wherein the subtechnology profiles include the subtechnology interconnectivities, as well as other subtechnology attributes. In one embodiment, the generated subtechnology profiles may then be stored in a common technology database, to which access may be provided using a common user interface. The technology database may be searched based on user queries entered via the common graphical user interface, as well as the identified subtechnology interconnectivities.

Abstract: Architecture for extracting document information from documents received as search results based on a query string, and computing an edit distance between the data string and the query string. The edit distance is employed in determining relevance of the document as part of result ranking by detecting near-matches of a whole query or part of the query. The edit distance evaluates how close the query string is to a given data stream that includes document information such as TAUC (title, anchor text, URL, clicks) information, etc. The architecture includes the index-time splitting of compound terms in the URL to allow the more effective discovery of query terms. Additionally, index-time filtering of anchor text is utilized to find the top N anchors of one or more of the document results. The TAUC information can be input to a neural network (e.g., 2-layer) to improve relevance metrics for ranking the search results.

Abstract: Information retrieval systems such as web search systems locate documents amongst millions and even billions of possible documents on the basis of query terms. In order to achieve this document indexes are created. We propose creating new fields in the documents to store feedback information. This information comprises query terms used in a particular search as well as information about whether a particular document retrieved is given positive or negative feedback for example. Indexes are created on the basis of this feedback information in addition to other available information. As a result relevance of search results is improved. Multiple fields of information are available for given documents (such as abstract fields, title fields, anchor text fields as well as our feedback fields). Any search algorithm which deals with multiple fields as well as multiple query terms and which provides for differential weighting of document fields is used.

Abstract: Embodiments of the invention provide systems and methods for searching records of a business object using a keyword search. According to one embodiment, a method of searching for one or more records of a business object can comprise converting one or more records of the business object to one or more keyword lists and searching for records of the business object based on the keyword lists and the search criteria. Converting records of the business object to one or more keyword lists can comprise converting one or more attributes of each of the records to one or more keyword-value pairs and saving the keyword-value pairs in the keyword lists. Searching for records of the business object based on the keyword lists comprises applying a keyword search to the keyword-value pairs of the keyword lists.

Abstract: A query including one or more keywords is received from a client device, and a content item (e.g., an advertisement) relevant to the one or more keywords is identified. A video is selected from one or more videos associated with the content item, the selection based on the one or more keywords. Display data is generated for displaying the content item at the client device, and video selection data is generated for displaying the video proximate to the content item at the client device. The display data and the video selection data are provided to the client device.

Abstract: This disclosure provides various embodiments of systems, methods, and software for managing structured and unstructured data within electronic communications. In one implementation, software identifies an electronic communication associated with a user in an enterprise application; creates a link between an unstructured data element associated with the electronic communication and a structured data element associated with the enterprise application, where the link created at least partially based on one or more attributes of the electronic communication and an active process of the enterprise application; and stores the link in a link repository.

Abstract: A system and method for determining relevancy for dynamic data sets is disclosed. A specific embodiment for use in an internet marketplace is presented wherein the relevancy for a descriptive factor associated with an item is increased when a user selects that item. To prevent abuse of the relevancy determination system, various embodiments incorporate abuse prevention measures. In one embodiment, a user's selection of the user's own items does not affect the relevancy system. In one embodiment, only a first selection of a particular item by a user will affect the relevancy system and any additional selections of that item will have no effect. In another embodiment, the size of the changes made due to the selections of particular user to the relevancy system are correlated to that user's reputation score.

Abstract: Systems and methods for aggregating user feedback associated with digital media files is provided. User feedback is received from a user that includes metadata which may correspond to a digital media file. A batch of such user feedback is received and may be filtered to discard any low quality user feedback entries. It then may be determined whether a user feedback entry corresponds to an existing metadata record stored as aggregated feedback. If not, the new user feedback entry is added to the aggregated feedback. If there is an existing metadata record which corresponds to the user feedback entry, the metadata contained in the entry may be used to edit the existing metadata record.

Abstract: The present invention discloses a solution of using user provided structure feedback to index electronic documents. In the solution, a search engine can serve search results based on an indexed store of electronic documents to at least user. Structure feedback can be received concerning the search results. The structure feedback can identify at least one structure element of an electronic document and at least one user specified semantic tag for the structure element. The indexed store can be changed to incorporate the structure feedback. The changed index store can be used when subsequently serving search results. The search engine can be a Web search engine and/or a desktop search engine.

Abstract: A content management system (CMS) monitors and logs review activity for elements in a document. A review activity policy includes one or more thresholds that define one or more ranges that define corresponding review activity levels. A schema or document type for the document is annotated based on the logged review activity to indicate one or more review activity levels for one or more elements in the schema or document type. When an author edits or creates a document based on the same schema or document type, the schema or document type for that document is read, and the elements in the document are displayed to the user to indicate past review activity according to the annotations in the document's schema or document type.

Abstract: An enterprise-wide query relaxative support vector machine ranking algorithm approach provides enhanced functionality for query execution in a heterogeneous enterprise environment. Improved query results are obtained by adjusting ranking functions using machine learning methods to automatically train ranking functions. The improved query results are obtained using a list of document-query pairs that are modeled as a binary classification training problem, combination function which requires ranking and learning functions to be implemented representing document attributes and metadata utilizing query relaxation techniques and adjusted ranking functions. Machine learning methods implement user feedback to automatically train ranking functions.

Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.