2612 results about "Result set" patented technology

The present application describes systems and methods for Relationship Capital Management (“RCM”). An RCM system mines relationship capital, which it correlates to eliminate redundancies, that is made available for searching. An initial result set of the search may be narrowed to a single individual, e.g., the target. Weighted paths are identified that connect the user to the target, which may comprise one or more intermediaries between the two. Weighted paths are presented as maps, which may be embedded in other applications to improve business processes such as selling, marketing, hiring, etc. Selection of a path to the target initiates processing of requests for access to relationship capital and responses between the user and the one or more intermediaries. The processing of requests ultimately leads to the approval, conditional approval or denial of access to the relationship capital to which the user wishes to obtain access.

A photographer's guidance system is formed of a computer-based processor made responsive to location, time of day, manual user inputs, among others to provide photo exposure suggestions based upon information stored as photo set-up descriptors. In response to user requests in combination with present conditions such as time, location weather, etc., a database request is executed against stored photo set-up data to produce a result set of photo set-up descriptors. These descriptors are used both manually and automatically to assist a photographer user in setting up a photo exposure in agreement with the prescribed parameters. These systems may be directly coupled with a DSLR type camera and may operate via user controls and interfaces thereof. In alternative versions, these system have independent control and user interfaces with outputs coupled to a DSLR control. In still further other versions, an entirely manual system leaves it to the photographer to set up a camera of the art in agreement with parameters presented in resultsets.

A method is disclosed wherein the webpages listed in the result set of a search engine is sorted according to the relevance of the webpages to a list of prioritised search terms. Search terms which are phrases that are delimited by prepositions are considered search terms with high priority. Search terms which nouns are set to high priority. Search terms which are adjectives, verbs, auxiliary verbs, articles, conjunctions, pronouns and prepositions are set to low priority.

Some of these new methods harness distributed computing capabilities to integrate biometric abstraction processes, wireless network connectivity, and specialized software for mediation, to produce a unified result set. A mediator that enables rapid health care support is used in a computer system having a database of information to be shared with authorized requesters, under privacy rules or other pre-defined constraints. The methods, using specialized software for mediation, are preferably enabled to process a securely transmitted remote data request as a query to verify or identify an individual, whether it is sent via a network that is wireless in any part, or not. Upon receiving a remote request, typically sent by a requesting application other than one operated by the individual who is the subject of the request, the mediator uses the individual's transformed biometric data of the request to rapidly advance query resolution, under all query preprocessing rules, and query results post-processing rules, that apply.

The present invention is directed towards systems and methods for ranking one or more advertisements. The method of the present invention comprises retrieving a result set comprising one or more advertisements responsive to a request. A clickability score is calculated for the one or more advertisements comprising the result set. An expected revenue value is calculated for the one or more advertisements using the clickability scores of the one or more advertisements as well as an indication of revenue associated with the one or more advertisements. The one or more advertisements are ordered according to the expected revenue of the one or more advertisements.

A system and method of information retrieval and triage for information analysis provides an for interactive multi-dimensional and linked visual representation of information content and properties. A query interface plans and obtains result sets. A dimension interface specifies dimensions with which to categorize the result sets. Links among results of a result set or results of different sets are automatically generated for linked selection viewing. Entities may be extracted and viewed and entity relations determined to establish further links and dimensions. Properties encoded in representations (e.g. icons) of the results in the multidimensional views maximizes display density. Multiple queries may be performed and compared. An integrated browser component responsive to the links is provided for viewing documents. Documents and other information from the result set may be used in an analysis component providing a space for visual linking, to arrange the information in the space while maintaining links automatically.

The present invention is directed towards systems and methods for determining one or more positions for one or more advertisements. The method of the present invention comprises receiving a result set comprising one or more advertisements ordered by expected revenue. A document is divided into one or more locations for displaying one or more advertisements. A first set of advertisements is selected from the result set to position at a primary location in the document, the selection based upon the expected revenue associated with the one or more advertisements. A second set of advertisement is selected from the result set to position at one or more additional locations of the given document.

A method and apparatus for utilizing user behavior to immediately modify sets of search results so that the most relevant documents are moved to the top. In one embodiment of the invention, behavior data, which can come from virtually any activity, is used to infer the user's intent. The updated inferred implicit user model is then exploited immediately by re-ranking the set of matched documents to best reflect the information need of the user. The system updates the user model and immediately re-ranks documents at every opportunity in order to constantly provide the most optimal results. In another embodiment, the system determines, based on the similarity of results sets, if the current query belongs in the same information session as one or more previous queries. If so, the current query is expanded with additional keywords in order to improve the targeting of the results.

An Information highlighting facility assists the user in evaluating relevance of accessed documents to the user's information need. The accessed documents may, for example, be identified by a search engine in response to a user query. When accessing documents identified as relevant by a search engine from other networked computers, the facility provides information highlighting to assist the user in determining whether the document is relevant. A model of the user's interest, which may include an augmented set of search terms is used to take into account the general interest of the user as captured by an interest profile and context of use of the computer by the user, or a combination thereof. The model of the user's interest is applied to the document text as the document is accessed from its source. The highlighting of information about the document content may include highlighting of the terminology in the text, scrolling of the document to the relevant passages, identification of entity names and entity relations, creation of a document summary and a document thumbnail, etc. In addition, the model can be applied to a set of documents accessed by the user, e.g., to re-rank the top scoring documents from the result set provided to the user by a search engine or some other information providing services.

The invention provides a computer-implemented method for determining whether a database contains any images that substantially match at least one image provided of an individual. A probe data set is received, the comprising first and second biometric templates associated with the individual, the first biometric template associated with a different type of biometric than the second type of biometric template. A database of biometric templates is searched using the first biometric template to retrieve a first results set. A first predetermined portion of the first results set is selected. The first predetermined portion of the first results set is searched using the second biometric template to retrieve a second results set. A second predetermined portion of the second results set is selected. The second predetermined portion of the second results is provided for comparison with the image provided of the individual.

Advertisements over a network, such as the Internet, by extracting an index file of suppliers of search result sets for a plurality of keywords and/or an index of ads to be placed. A keyword in a received query may be matched to the suppliers of related search result sets and/or the ads to be placed in the index file(s). The search results may be ranked based on various criteria such as yield, click through rates and history of dealings. Search result sets for the keywords from the matching suppliers and the ads to be placed may be combined to produce a search result set ranked in accordance with estimated yields for advertisements associated with each result in the search result set and delivered in response to the received query. The search results in the combined set may be reranked and/or repriced.

Provided is a method and computer program product for determining a document relevance function for estimating a relevance score of a document in a database with respect to a query. For each of a plurality of test queries, a respective set of result documents is collected. For each test query, a subset of the documents in the respective result set is selected, and a set of training relevance scores is assigned to documents in the subset. In one embodiment, at least some of the training relevance scores are assigned by human subjects who determine individual relevance scores for submitted documents with respect to the corresponding queries. Finally, a relevance function is determined based on the plurality of test queries, the subsets of documents, and the sets of training relevance scores.

A system and method indexes and retrieves documents stored in a database. A document feature vector is extracted for each document to be indexed. The feature vector is projected to a low dimension document feature vector, and the documents are indexed according to the low dimension document feature vectors. A spoken query is represented as a lattice indicating possible sequential combinations of words in the spoken query. The lattice is converted to a query certainty vector, which is also projected to a low dimension query certainty vector. The low dimension query vector is compared to each of the low dimension document feature vectors to retrieve a matching result set of documents.

The present invention is directed towards a platform for user discovery. A method according to one embodiment of the invention comprises receiving a request from a user to initiate a search for content items previously indexed and associated with one or more tags by a community of users and identifying a set of preliminary tags from an index of tags defined by the community, where each tag is associated with one or more content items. Input is received from the user of at least one tag or keyword to update a current set of selected tags and keywords and identify a result set of content items having associated tags and keywords matching the current set of selected tags and keywords. The result set of content items is presented along with an intermediate set of tags to serve as a potential starting point for refining the search based on the tags associated with each of the content items in the result set.

A video search system and method adapted to be queried by a user for accessing video data. The method comprising the steps of: providing an index containing a plurality of index data each indicative of one or more video data element accessible on a data network for defining a collection of the video data elements; receiving a user query from the user; matching the user query to one or more the index data defining a result set of index data; ranking the result set for defining a ranked result set of index data; generating a slicecast of video data elements indicative of the ranked result set; and presenting the slicecast to the user. A user interface adapted to present the slicecast of results preferably comprises a first current playlist video element area for playback of an extracted portion of a current playlist video item and a second list of playlist element area including a series of playlist videos for playback by a user.

a system 100 that facilitates determining a user's intent given a user search query comprises a search engine that is employed to search over a collection of objects within a data store to retrieve a user search result set. The objects within the result set are associated with queries that were previously utilized to locate such objects. A level of relatedness between the previous queries and the user search query is determined, and previous queries that are associated with a result set that is novel and related to the user search result set are returned to the user.

A system for personalization of searches comprising a network which is accessible by one or more users; a search engine which locates a result set of documents in response to a search query by a user; a personalization engine which pre-processes said search query to return a personalized result set. A network-based search engine database configured to store data which is ranked according to usage, the data being searchable by a search engine; and a method for personalization of searches using the database to return a personalized result set of documents to a user.

A computer implemented method for executing an ANSI SQL expression belonging to the SELECT-WHERE-equi-JOIN class on data residing in a distributed file system, said method comprising the steps of entering the ANSI SQL expression into a user interface; converting the ANSI SQL expression into a map-reduce program; running the map-reduce program on the distributed file system; storing the result set of the program in the distributed file system; and presenting the result set through a user interface.

A method of selecting key-frames (230) from a video sequence (210, 215) by comparing each frame in the video sequence with respect to its preceding and subsequent key-frames for redundancy where the comparison involves region and motion analysis. The video sequence is optionally pre-processed to detect graphic overlay. The key-frame set is optionally post-processed (250) to optimize the resulting set for face or other object recognition.

A multidimensional query results processing system for translating output of an execution of a multidimensional query into a data result set that reflects the semantics of an entity/relationship schema report specification is provided. The system comprises a result set description generation module for producing a result set description that reflects the semantics of the report specification, a tabular row generation module for converting the results of the single multi-dimensional query into a collection of rows of data, a tabular summary level calculation module for calculating a summarization level of a row a data, a tabular header row generation module for producing a header row to include in the row of data, and a cross-tabulated result generation module for converting the results of the single multi-dimensional query into a result set that matches the semantics of the report specification.

A method, system, and computer program product for enabling dynamic detection of anomalies occurring within an input graph representing a social network. More specifically, the invention provides an automated computer simulation technique that implements the combination of Social Network Analysis (SNA) and statistical pattern classification for detecting abnormal social patterns or events through the expanded use of SNA Metrics. The simulation technique further updates the result sets generated, based on observed occurrences, to dynamically determine what constitutes abnormal behavior, within the overall context of observed patterns of behavior.

An image retrieval system performs both keyword-based and content-based image retrieval. A user interface allows a user to specify queries using a combination of keywords and examples images. Depending on the input query, the image retrieval system finds images with keywords that match the keywords in the query and/or images with similar low-level features, such as color, texture, and shape. The system ranks the images and returns them to the user. The user interface allows the user to identify images that are more relevant to the query, as well as images that are less or not relevant to the query. The user may alternatively elect to refine the search by selecting one example image from the result set and submitting its low-level features in a new query. The image retrieval system monitors the user feedback and uses it to refine any search efforts and to train itself for future search queries. In the described implementation, the image retrieval system seamlessly integrates feature-based relevance feedback and semantic-based relevance feedback.