154 results about "Relevance measure" patented technology

An online social network is provided in which members of the online social network control who may view their personal information and who may communicate with them. The members control who may view their personal information by setting a visibility preference. A member may not view another member's full personal profile if the measure of relatedness between the two is greater than the visibility preference of the other member. The members also control who may communicate with them by setting a contactability preference. A member may not communicate with another member if the measure of relatedness between the two is greater than the contactability preference of the other member.

Disclosed are methods and apparatus, including computer program products, implementing and using techniques for conversational advertising. Online commentary data representing comments and / or conversation is published on a data network. Relevant commentary data associated with an electronic advertisement can be identified on one or more electronic forums accessible over the data network. The identified commentary data can be filtered according to one or more parameters. The parameters can include, for example: commentary content, conversation volume, a designated timeframe, a topic, a tag, a keyword, an index, a link, a classification scheme, an authority, a relevance measure, a meme, a word, a phrase, and / or a ranking. Advertisement content, such as selected comments and / or metadata, is determined based on the commentary data. The determined advertisement content can be provided over the data network, for instance, as an RSS feed, to the electronic advertisement for incorporation into the electronic advertisement. Further commentary data on one or more electronic forums can similarly be processed to dynamically update and refine the advertisement.

Search results of a search query on a network are ranked according to an additional ranking function for the prior probability of relevance of a document based on document property. The document property may be the document's file type, the file size, the document language, or another query-independent property of the document. The query-independent values for each document property may be weighted according to relevance measurements of the document based on the document property. As more relevance measurements of the documents may be obtained, the query-independent values for each document property may be updated to reflect the new measurements.

Techniques for providing semantic search of a data store are disclosed. A similarity metric of a document comprising the data store to a concept represented in a semantic model derived at least in part from a reference source that includes content not included in the data store is determined. A relevance metric of a search query to the concept is computed. The similarity metric and the relevance metric are used to determine, at least in part, a ranking of the document with respect to the search query.

An image processing method is described for determining depth information from at least two input images recorded by a stereo camera system, the depth information being determined from a disparity map taking into account geometric properties of the stereo camera system, characterized by the following method steps for ascertaining the disparity map: transforming the input images into signature images with the aid of a predefined operator, calculating costs based on the signature images with the aid of a parameter-free statistical rank correlation measure for ascertaining a cost range for predefined disparity levels in relation to at least one of the at least two input images, performing a correspondence analysis for each point of the cost range for the predefined disparity levels, the disparity to be determined corresponding to the lowest costs, and ascertaining the disparity map from the previously determined disparities.

In a data processing system, a method of recommending articles and products to a user is disclosed. The method creates a frequency vector in relation to the content of an article, frequency vectors in relation each of one or more products from intermediate data. The method compares the vectors to determine a content similarity measure, and provides as output a list of one or more products having the highest content similarity measures. The method may also determine a correlation measure. An electronic data processing system for recommending articles and products to a user is also disclosed. The system includes modules to receive article information and product information, a correlation module to determine a content similarity measure between the article and each of the products and, a multiplexer module for providing a list comprising the article and the products associated having the highest content similarity measure.

A system and related techniques permit a search service operator to access a variety of disparate relevance measures, and integrate those measures into idealized or unified data sets. A search service operator may employ self-learning networks to generate relevance rankings of Web site hits in response to user queries or searches, such as Boolean text or other searches. To improve the accuracy and quality of the rankings of results, the service provider may accept as inputs relevance measures created from query logs, from human-annotated search records, from independent commercial or other search sites, or from other sources and feed those measures to a normalization engine. That engine may normalize those relevance ratings to a common scale, such as quintiles, percentages or other scales or levels. The provider may then use that idealized or normalized combined measure to, for example, train the search algorithms or heuristics to arrive at better or more accurate results.

A system and method of processing a search request is provided. Identification of a desired content item is based on comparing a topic of the search request to previous user input. The method includes providing access to a set of content items with metadata that describes the corresponding content items and providing information about previous searches. The method further includes receiving a present input from the user and determining a relatedness measure between the information about the previous searches and an element of the present input. If the relatedness measure is high, the method also includes selecting a subset of content items based on comparing the present input and information about the previous searches with the metadata that describes the subset of content items. Otherwise, the method includes selecting a subset of content items based on comparing the present input with the metadata that describes the subset of content items.

The present invention discloses a system and methods for retrieval of most relevant information from a given digital data repository. This is done in the first step by verifying two conditions of relevance, presence of query words plus presence of at least one type of relationship between the words in the data record. Additionally a numeric relevance score is computed for each relevant record, such that they can be sorted descendingly according to this relevance metric. The most relevant results will be shown first, while irrelevant records are eliminated. This reduces the volume of the results substantially. The information retrieval system according to this invention includes: a data pre-processing component where multiple steps of processing is performed, a second new data repository where the modified data is stored, a user interface with the capability of real-time translation of user's query, a search engine, and computing hardware in a distributed architecture.

A method and apparatus are provided for automatic data rate control in wireless communication systems, such as wireless LANs. A wireless communication device according to the present invention includes a data rate controller that adapts a transmission rate based on a channel correlation measure. The channel correlation measure may be, for example, eigenvalues or singular values of a channel matrix. The data rate controller may also consider the signal quality, channel delay spread or both in determining a data rate.

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.

Mined semantic analysis techniques (MSA) include generating a first subset of concepts, from a NL corpus, that are latently associated with an NL candidate term based on (i) a second subset of concepts from the corpus that are explicitly or implicitly associated with the candidate term and (ii) a set of concept association rules. The concept association rules are mined from a transaction dictionary constructed from the corpus and defining discovered latent associations between corpus concepts. A concept space of the candidate term includes at least portions of both the first and second subset of concepts, and includes indications of relationships between latently-associated concepts and the explicitly / implicitly-associated concepts from which the latently-associated concepts were derived. Measures of relatedness between candidate terms are deterministically determined based on their respective concept spaces. Example corpora include digital corpora such as encyclopedias, journals, intellectual property datasets, health-care related datasets / records, financial-sector related datasets / records, etc.

An advertising system including an application for execution by a client, a promoter, an advertising server, and a displayer, where the application is operative to communicate to the promoter information relating to either of the life cycle and the current status of either of the application and the client, where the promoter is operative to communicate a request for instructions to the advertising server, where the advertising server is operative to construct and transmit to the promoter a set of instructions for the promoter indicating at least one advertisement of relevance to the client based on a predefined relevance measure of the information, and where the promoter is operative to retrieve the advertisement indicated in the instructions and provide the advertisement for rendering by the displayer at the client.

A conversation model is generated based on a conversation between a plurality of participants. Conversation text associated with the conversation is retrieved. A plurality of conversation model components are identified within the conversation text. A correlation score is determined for each pair of conversation model components representing a measure of relatedness between the pair of conversation model components. Extrapolated conversation model components are identified based on the plurality of conversation model components and the determined correlation scores. The conversation model components, the additional conversation model components, and the correlation scores are then stored as a conversation model.

Embodiments of system and method are provided for ranking contents of one or more documents through human assistance. The system comprises one or more search engines configured to provide one or more documents 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 document tags provided by the document author or inbound links. The client application monitors one or more interactions of the user with the one or more documents for one or more events and provides a relevance measure to the one or more documents based on the captured query or tags, and the one or more events.

The invention discloses a power load short-term prediction method, model, device and system, and the method comprises the steps of receiving the load data, and complementing the missing data of the load data; receiving the influence factor data which comprises the air temperature data, the holiday data and the industry category data to which the power consumers belong, and quantifying the influence factors by adopting a quantification method corresponding to the load data; processing the historical load data by adopting the wavelet decomposition, carrying out the multi-scale decomposition to obtain four historical load reconstruction data sequences, and respectively carrying out correlation measurement on the four historical load reconstruction data sequences and the influence factor datato obtain a correlation characteristic data set of each reconstruction load characteristic and the influence factor; and carrying out preliminary prediction on the four sequences obtained according tothe load data by adopting a cubic exponential smoothing algorithm, further optimizing a preliminary prediction result, and finally obtaining a power short-term load prediction value as the power loadscheduling reference data.

A method and apparatus are provided for organizing media files using parameters obtained from the visual content and metadata of the media files. Using machine learning, an algorithm is trained to apply user preferences to organize the media files. The user indicates their preferences by viewing the media files and selecting relevancy measures and organizational actions for a subset of the media files (i.e., training data). Using the media-file parameters, the algorithm calculates relevancy values for respective media files. The algorithm is trained to minimize the error between the calculated relevancy value and the user determined relevancy measures of the training data. The media-file parameters can include, e.g., the blurriness of and facial and pattern recognition of the visual content; the source, location, time, edit history, and the frequency and recency of access to the media files as recoded in the metadata.

Systems and methods for associating instant messenger events are described. In one embodiment, a first instant messenger event is identified. It may then be determined whether the first instant messenger event is associated with at least a previously indexed second instant messenger event based, at least in part, on a relevance measure.

The invention relates to a three-dimensional deformation measuring system and a three-dimensional deformation measuring method combining speckle correlation and speckle interference. The system comprises a laser, wherein laser light emitted by the laser passes through a semi-permeable and semi-reflective mirror after being expanded for illuminating a tested object and a reference object surface respectively; the tested object surface and the reference object surface are imaged simultaneously on the target surface of a CCD (Charge Coupled Device) camera through an imaging lens by means of the semi-permeable and semi-reflective mirror; the semi-permeable and semi-reflective mirror is arranged obliquely at an angle of 45 degrees relative to incident rays; and when a reference path exists, object surface speckles and reference surface speckles are interfered with mutually on the target surface of the CCD camera to form an interference speckle image for measuring an off-plane displacement component. A reference substance light path is removed, a speckle image on the object surface is acquired, and two components of in-plane displacement are calculated by using two speckle images acquired before and after deformation. A typical digital speckle light path which is sensitive to the off-plane displacement is utilized, so that the in-plane displacement and speckle interference off-plane displacement of a speckle relevance measuring object are realized, and three-dimensional displacement measurement is realized; and and the system and the method have the advantages of simple light path, and easiness and rapidness for operating and processing data.

A method for using an aerodynamic stability management system is disclosed. The method includes placing at least one pressure sensor in a compressor, the at least one pressure sensor communicating with an aerodynamic stability management system controller and monitoring gas turbine engine performance using the aerodynamic stability management system controller. The controller includes a memory, an input / output interface and a processor. The method also includes defining a correlation threshold value and calculating a correlation measure using a plurality of pressure signals generated by the at least one pressure sensor and comparing the correlation measure with the correlation threshold value. When the correlation measure is less than the correlation threshold value a corrective action is implemented.

The invention proposes a signal-level fusion networking radar anti-cheating interference method under object signal correlation, and the method can achieve the effective discrimination of false targets generated by different cheating interferences. The method comprises the steps: 1, enabling each junction radar to receive echo data and calculate a corresponding noise power; 2, building slow-time random complex envelope sequences of each point target at a plurality of junction radars; 3, estimating the mean power of each point target at each junction radar; 4, enabling the slow-time random complex envelope sequences of the same point target at the plurality of junction radars to be combined in a paired manner to form a plurality of envelope groups, and estimating a correlation tolerance; 5, calculating a detection threshold range; 6, searching an optimal detection threshold; 7, judging whether the correlation tolerance is greater than the optimal detection threshold or not: judging that the envelope groups pass through false target examination if the correlation tolerance is not greater than the optimal detection threshold, or else, marking two corresponding point targets as false targets; 8, eliminating the false targets.

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 includes 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 includes 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.

Disclosed are apparatus and methods for facilitating the ranking of web objects. The method includes automatically adjusting a plurality of weight values for a plurality of parameters for inputting into a ranking engine that is adapted to rank a plurality of web objects based on such weight values and their corresponding parameters. The adjusted weight values are provided to the ranking engine so as to generate a ranked set of web objects based on such adjusted weight values and their corresponding parameters, as well as a particular query. A relevance metric (e.g., that quantifies or qualifies how relevant the generated ranked set of web objects are for the particular query) is determined. The method includes automatically repeating the operations of adjusting the weight values, providing the adjusted weight values to the ranking engine, and determining a relevance metric until the relevance metric reaches an optimized level, which corresponds to an optimized set of weight values. The repeated operations utilize one or more sets of weight values including at least one set that results in a worst relevance metric value, as compared to a previous set of weight values, according to a certain probability in order to escape local optimal solution to reach the global optimal solution.