Xerox Corporation

Enkata Technologies, Inc.

Google Inc.

Hinrich H Schuetze

James Edward Pitkow

Peter L T Pirolli

Ed H Chi

Jun Li

Francine R Chen

Jan O Pedersen

Stan Stukov

Ullas Gargi

Eytan Adar

Omer Emre Velipasaoglu

Geoffrey D Nunberg

Chia-Hao Yu

Brett L Kessler

Todd A Cass

Gregory T Grefenstette

Julian M Kupiec

Thomas M Breuel

Leslie T Niles

Daniel A Sommerfield

Blake D Ward

James B Pitkow

Donald R Turnbull

Peter L Pirolli

A method for loading data into a datamart. The method includes identifying business data in a first format from a real business process and identifying a desired second format. The method includes designing a transformation algorithm that transforms the business data in the first format into the second format and implementing the transformation algorithm in computer executable code. The method includes running the computer executable code on business data in the first format and generating business data in the second format and storing the business data in the second format in a datamart.

System and method for efficient enrichment of business data

A method for processing semi-structured data. The method includes receiving semi-structured data into a first format from a real business process. Preferably, the semi-structured data are machine generated. The method includes tokenizing the semi-structured data into a second format and storing the semi-structured data in the second format into one or more memories and clustering the tokenized data to form a plurality of clusters. The method also includes identifying a selected low frequency term in each of the clusters, and processing at least two of the clusters and the associated selected low frequency terms to form a single template for the at least two of the clusters. In a preferred embodiment, the method replaces the selected low frequency term with a wild card character.

System and method for processing semi-structured business data using selected template designs

A method for estimating the performance of a statistical classifier. The method includes inputting a first set of business data in a first format from a real business process and storing the first set of business data in the first format into memory. The method applying a statistical classifier to the first set of business data and recording its classification decisions and obtaining a labeling that contains the correct decision for each data item. The method includes computing a weight for each data item that reflects its true frequency and computing a performance measure of the statistical classifier based on the weights that reflect true frequency. The method also displays the performance measure to a user.

System and method for estimating performance of a classifier

A search and recommendation system employs the preferences and profiles of individual users and groups within a community of users, as well as information derived from categorically organized content pointers, to augment electronic commerce related searches, re-rank search results, and provide recommendations for commerce related objects based on an initial subject-matter query and an interaction history of a user. The search and recommendation system operates in the context of a content pointer manager, which stores individual users' content pointers (some of which may be published or shared for group use) on a centralized content pointer database connected to a network. The shared content pointer manager is implemented as a distributed program, portions of which operate on users' terminals and other portions of which operate on the centralized content pointer database. A user's content pointers are organized in accordance with a local topical categorical hierarchy. The hierarchical organization is used to define a relevance context within which returned objects are evaluated and ordered.

Interface and system for providing persistent contextual relevance for commerce activities in a networked environment

A search and recommendation system employs the preferences and profiles of individual users and groups within a community of users, as well as information derived from categorically organized content pointers, to augment Internet searches, re-rank search results, and provide recommendations for objects based on an initial subject-matter query. The search and recommendation system operates in the context of a content pointer manager, which stores individual users' content pointers (some of which may be published or shared for group use) on a centralized content pointer database connected to the Internet. The shared content pointer manager is implemented as a distributed program, portions of which operate on users' terminals and other portions of which operate on the centralized content pointer database. A user's content pointers are organized in accordance with a local topical categorical hierarchy. The hierarchical organization is used to define a relevance context within which returned objects are evaluated and ordered.

System and method for searching and recommending objects from a categorically organized information repository

A processor implemented method of identifying the text genre of a machine-readable, untagged text. The processor implemented method begins by generating a cue vector from the text, which represents occurrences in the text of a first set of nonstructural, surface cues, which are easily computable. Afterward, the processor determines whether the text is an instance of a first text genre using the cue vector and a weighting vector associated with the first text genre.

Article and method of automatically determining text genre using surface features of untagged texts

A system and method for browsing, retrieving, and recommending information from a collection uses multi-modal features of the documents in the collection, as well as an analysis of users' prior browsing and retrieval behavior. The system and method are premised on various disclosed methods for quantitatively representing documents in a document collection as vectors in multi-dimensional vector spaces, quantitatively determining similarity between documents, and clustering documents according to those similarities. The system and method also rely on methods for quantitatively representing users in a user population, quantitatively determining similarity between users, clustering users according to those similarities, and visually representing clusters of users by analogy to clusters of documents.

System and method for identifying similarities among objects in a collection

System and method for quantitatively representing data objects in vector space

A system and method in accordance with an embodiment of the invention addresses the problems of unlinked or sparsely linked documents by linking them using a set of automatically extracted content words, the 'index terms.' Upon receiving a list of documents for indexing, the system and method in accordance with an embodiment of the invention automatically selects the terms to be indexed and generates a hypertext concordance (an 'HC'). A concordance is an index where each of the indexed terms is listed with surrounding text, i.e., in context. As well, each of the indexed terms in the HC is given a hyperlink, instead of a page number, back to the occurrence of the term in a version of the indexed document. In one embodiment of the invention, the original document that has been indexed is also revised to include hyperlinks from the index terms into the HC.

Hypertext concordance

A system for genre-specific summarization of documents is provided that overcomes the problem of summarizing heterogeneous document collections by taking the genre, or type, of document into account when selecting summary sentences. The system of the present invention takes advantage of the structure and wording of various document genres to provide faster and more accurate summaries.

System for genre-specific summarization of documents

This invention provides a device that can be plugged into an intranet and offers searchable index functionality of that intranet without requiring information about system configuration or administration.

Self-contained indexing system for an intranet

A system, computer readable medium and method for searching for recently altered documents on the World Wide Web is provided. The method selects a server to be searched or crawled by a Web crawler based on a user selected ranking. Servers are ranked by a filter program which compares a user query with the content of a server and the frequency in which content is altered. A top percentage of ranked servers are crawled and the recently altered information, such as hyperlinks, are then provided to the user.

USER QUERY GENERATE SEARCH RESULTS THAT RANK SET OF SERVERS WHERE RANKING IS BASED ON COMPARING CONTENT ON EACH SERVER WITH USER QUERY, FREQUENCY AT WHICH CONTENT ON EACH SERVER IS ALTERED USING WEB CRAWLER IN A SEARCH ENGINE

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San Francisco, CA, United States of America

Hinrich H Schuetze