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76154results about "Digital data information retrieval" patented technology

Personalized interactive digital catalog profiling

An interactive and enhanced digital Instant Catalog of products, services, and information that is personalized or personally profiled, to each unique user of the catalog. The catalog instantly and intelligently captures, stores, manages, and processes self-selected, reusable and "re-distributable" catalog groupings anonymously, for personalizing, enhancing, monitoring, tracking, and peer sharing through multiple mediums and platforms by intelligent agents for a variety of user and vendor specified purposes. The personally profiled cataloged information can be viewed instantaneously and simultaneously by each effected component or member of a supply chain, at the time the product or service has been cataloged, without identifying the cataloger. The user, who preferably employs a Web browser over the Internet, personalizes the interactively produced intelligent catalog content. Products, services, and information groupings are digitally captured and stored by an intelligent catalog agent for enhanced personalized interaction and networking through a peer sharing network, or through an open catalog exchange. The user has the ability to create their own individualized world of products, services, and information that is contextually tailored to each user's unique environment in real-time. Web services hosted within a personal Extranet can anonymously assist and facilitate a context specific task or service insightfully and spontaneously. Through the selective cataloging of multi-vendor products, services, and information, a user is able to fully control, personalize, enhance and share, any lifestyle interest captured from ITV, print, the World Wide Web, businesses, and peers.
Owner:INTENTIONIZE LLC

Automatic, personalized online information and product services

A method for providing automatic, personalized information services to a computer user includes the following steps: transparently monitoring user interactions with data during normal use of the computer; updating user-specific data files including a set of user-related documents; estimating parameters of a learning machine that define a User Model specific to the user, using the user-specific data files; analyzing a document to identify its properties; estimating the probability that the user is interested in the document by applying the document properties to the parameters of the User Model; and providing personalized services based on the estimated probability. Personalized services include personalized searches that return only documents of interest to the user, personalized crawling for maintaining an index of documents of interest to the user; personalized navigation that recommends interesting documents that are hyperlinked to documents currently being viewed; and personalized news, in which a third party server customized its interaction with the user. The User Model includes continually-updated measures of user interest in words or phrases, web sites, topics, products, and product features. The measures are updated based on both positive examples, such as documents the user bookmarks, and negative examples, such as search results that the user does not follow. Users are clustered into groups of similar users by calculating the distance between User Models.
Owner:PERSONALIZED USER MODEL PUM

Real-time receipt, decompression and play of compressed streaming video/hypervideo; with thumbnail display of past scenes and with replay, hyperlinking and/or recording permissively intiated retrospectively

Streaming compressed digital hypervideo received upon a digital communications network is decoded (decompressed) and played in a client-computer-based "video on web VCR" software system. Scene changes, if not previously marked upstream, are automatically detected, and typically twenty-one past scenes are displayed as thumbnail images. Hyperlinks within the main video scene, and/or any thumbnail image, show as hotspots, with text annotations typically appearing upon a cursor "mouse over". All hyperlinks-as are provided and inserted by, inter alia, the upstream network service provider (the "ISP")-may be, and preferably are, full-custom dynamically-resolved to each subscriber/user/viewer ("SUV") upon volitional "click throughs" by the SUV, including retrospectively on past hypervideo scenes as appear within the thumbnail images. Hyperlinking permits (i) retrieving information and commercials, including streaming video/hypervideo, from any of local storage, a network (or Internet) service provider ("ISP"), a network content provider, and/or an advertiser network site, (ii) entering a contest of skill or a lottery of chance, (iii) gambling, (iv) buying (and less often, selling), (v) responding to a survey, and expressing an opinion, and/or (vi) sounding an alert.
Owner:TATA AMERICA INT

Content display monitor

The invention can enable monitoring of the display of content by a computer system. Moreover, the invention can enable monitoring of the displayed content to produce monitoring information from which conclusions may be deduced regarding the observation of the displayed content by an observer. The invention can also enable monitoring of the display at a content display site of content that is provided by a content provider site over a network to the content display site. Additionally, the invention can enable the expeditious provision of updated and/or tailored content over a network from a content provider site to a content display site so that the content provider's current and appropriately tailored content is always displayed at the content display site. Aspects of the invention related to transfer of content over a network are generally applicable to any type of network. However, it is contemplated that the invention can be particularly useful with a computer network, including private computer networks (e.g., America Online TM ) and public computer networks (e.g., the Internet). In particular, the invention can be advantageously used with computer networks or portions of computer networks over which video and/or audio content are transferred from one network site to another network site for observation, such as the World Wide Web portion of the Internet.
Owner:NIELSEN COMPANY US LLC THE A DELAWARE LIMITED LIABILITY

System and methods for recognizing sound and music signals in high noise and distortion

A method for recognizing an audio sample locates an audio file that most closely matches the audio sample from a database indexing a large set of original recordings. Each indexed audio file is represented in the database index by a set of landmark timepoints and associated fingerprints. Landmarks occur at reproducible locations within the file, while fingerprints represent features of the signal at or near the landmark timepoints. To perform recognition, landmarks and fingerprints are computed for the unknown sample and used to retrieve matching fingerprints from the database. For each file containing matching fingerprints, the landmarks are compared with landmarks of the sample at which the same fingerprints were computed. If a large number of corresponding landmarks are linearly related, i.e., if equivalent fingerprints of the sample and retrieved file have the same time evolution, then the file is identified with the sample. The method can be used for any type of sound or music, and is particularly effective for audio signals subject to linear and nonlinear distortion such as background noise, compression artifacts, or transmission dropouts. The sample can be identified in a time proportional to the logarithm of the number of entries in the database; given sufficient computational power, recognition can be performed in nearly real time as the sound is being sampled.
Owner:APPLE INC

Method and system for processing data records

Disclosed herein are various exemplary systems and methods for linking entity references to entities and identifying associations between entities. In particular, a method for identifying an entity from a plurality of entity references, each entity reference being linked with a separate ghost entity, is provided. The method comprises the steps of comparing an entity reference of a first ghost entity with an entity reference of a second ghost entity to determine a match probability between the entity reference of the first ghost entity and the entity reference of the second ghost entity, linking the entity reference of the first ghost entity additionally with the second ghost entity and the entity reference of the second ghost entity additionally with the first ghost entity when the match probability is greater than or equal to a match threshold and repeating the steps of comparing and linking for one or more ghost entity pairings possible from the ghost entities. The method further comprises determining, for one or more entity references linked to a ghost entity, a score for the entity reference based at least in part on a match probability between the entity reference and a value representing the one or more entity references linked to the ghost entity and identifying the ghost entity as an actual entity based at least in part on one or more scores for the one or more entity references linked to the ghost entity.
Owner:LEXISNEXIS RISK DATA MANAGEMENT
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