Xerox Corporation

At&t Intellectual Property I, L.p.

Justsystems Evans Research, Inc.

Other

Yellowpages.com LLC

Clairvoyance Corporation

James G Shanahan

Gregory T Grefenstette

David A Evans

Ritesh Jitendra Agrawal

Norbert Roma

Victor M Sheftel

Jeffrey Bennett

Jesse Montgomery

Larry Joseph Kirn

Christer E Fernstrom

Laurence Hubert

Remi Zajac

Donghui Feng

Clarke Retzer

Nathaniel A Murray

Kirk Boydston

Patrick Lucci

Systems and methods use machine learning techniques to resolve location ambiguity in search queries. In one aspect, a dataset generator generates a training dataset using query logs of a search engine. A training engine applies a machine learning technique to the training dataset to generate a location disambiguation model. A location disambiguation engine uses the location disambiguation model to resolve location ambiguity in subsequent search queries.

Systems and methods to facilitate local searches via location disambiguation

A system and method is provided which may comprise parsing an unstructured geographic web-search query into a field-based format, by utilizing conditional random fields, learned by semi-supervised automated learning, to parse structured information from the unstructured geographic web-search query. The system and method may also comprise establishing semi-supervised conditional random fields utilizing one of a rule-based finite state machine model and a statistics-based conditional random field model. Systematic geographic parsing may be used with the one of the rule-based finite state machine model and the statistics-based conditional random field model. Parsing an unstructured local geographical web-based query in local domain may be done by applying a learned model parser to the query, using at least one class-based query log from a form-based query system. The learned model parser may comprise at least one class-level n-gram language model-based feature harvested from a structured query log.

Query parser derivation computing device and method for making a query parser for parsing unstructured search queries

A method, system and article of manufacture therefor, are disclosed for automatically generating a query from document content.

System for automatically generating queries

A computer-readable medium comprises data structure for providing information about levels of similarity between pairs of N documents. The data structure comprises a plurality of entries of similarity values representing levels of similarity for a plurality of pairs of the documents. Each of the similarity values represents a level of similarity of one document of a given pair relative to the other document of the given pair. The similarity value of each entry is greater than a threshold similarity value that is greater than zero. The plurality of similarity-value entries are fewer than N&#x2212;N in number if the similarity values are asymmetric with regard to document pairing, and the plurality of similarity-value entries are fewer than in number if the similarity values are symmetric with regard to document pairing. A method and apparatus for generating the data structure are described.

Method and apparatus for constructing a compact similarity structure and for using the same in analyzing document relevance

A method of synchronizing static or dynamic dissimilar output sampling rates of multiple outputs of an integrated switching amplifier uses the step of synchronizing dissimilar static or dynamic sampling rates of multiple outputs to yield improved sonic quality, higher efficiency, lower EMI or other benefits. According to the preferred embodiment, the synchronizing is carried out with respect to pulse leading edges.

Integration improvement technique for switching amplifiers

A technique for representing an information need and employing one or more filters to select documents that satisfy the represented information need, including a technique of creating filters that involves (a) dividing a set of documents into one or more subsets such that each subset can be used as the source of features for creating a filtering profile or used to set or validate the score threshold for the profile and (b) determining whether multiple profiles are required and how to combine them to create an effective filter. Multiple profiles can be incorporated into an individual filter and the individual filters combined to create an ensemble filter. Ensemble filters can then be further combined to create meta filters.

Method and apparatus for document filtering using ensemble filters

An information need can be modeled by a binary classifier such as support vector machine (SVM). SVMs can exhibit very conservative precision oriented behavior when modeling information needs. This conservative behavior can be overcome by adjusting the position of the hyperplane, the geometric representation of a SVM. The present invention describes a couple of automatic techniques for adjusting the position of an SVM model based upon a beta-gamma thresholding procedure, cross fold validation and retrofitting. This adjustment technique can also be applied to other types of learning strategies.

Method and apparatus for adjusting the model threshold of a support vector machine for text classification and filtering

A personality that identifies enrichment themes of a document is associated with a reading or mobile computing device. In one embodiment, a personality is associated with a document reference reading device and attached to each document reference recorded by the document reference reading device. The personality and each recorded document reference are transmitted to a meta-document server. The meta-document server enriches document content identified by the document reference in accordance with the associated personality. The enriched document content is then made available to the user of the reading device.

Meta-document management system with document identifiers

In a document enrichment system, device buttons can be programmed to associate a number of personalities to the buttons on the device. These associations may be stored locally on the device. When the device with the programmed personality is activated on the device, the document produced is sent to a document enrichment system. Once enriched the document enrichment system notifies the user of the availability of the document in its new form.

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Pittsburgh, PA, United States of America

James G Shanahan