Barnesandnoble.com LLC

Retrevo Inc.

Nook Digital, LLC

Manish Rathi

Jiang Wu

Aditya Vailaya

Kirk Chen

A method for processing a search query according to one embodiment includes receiving a search query containing terms; combining at least some consecutive terms in the search query to create biwords; looking up at least some of the terms and biwords in a search index for identifying sections of documents containing the at least some of the terms and/or biwords; generating a content score for each of the identified sections based at least in part on a number of the terms and biwords found in the sections of each document, wherein the biwords are given a higher priority than matched terms, wherein the priority affects the content score; and selecting and outputting an indicator of at least one of the sections, or portion thereof, based at least in part on the content score.

Indexing and search query processing

A method for analyzing and indexing an unstructured or semistructured document according to one embodiment includes receiving an unstructured or semistructured document; converting the document to one or more text streams; analyzing the one or more text streams for identifying textual contents of the document; analyzing the one or more text streams for identifying logical sections of the document; associating the textual contents with the logical sections; indexing the textual contents and their association with the logical sections; and saving a result of the indexing in a data storage device.

Unstructured and semistructured document processing and searching

A system, method and computer program product for processing a search query includes receiving a search query containing one or more terms; processing the query to add one or more bi-words as terms to the query; searching a search index embodied on a non-transitory computer-readable storage medium having product identifiers and logical parts of the product identifiers indexed into different fields in the index; generating a score based on at least some of the terms matching the product identifiers and the individual logical parts of the product identifiers in the different fields in the index, wherein bi-words are weighted higher than the terms having only one word and individual terms are weighted higher when matching in the product identifier fields of the index; and selecting and outputting an indicator of product identifiers ranked by their scores.

Indexing and searching product identifiers

A method for processing a search query according to one embodiment includes receiving a search query containing terms; looking up at least some of the terms in a search index for identifying sections of documents containing the at least some of the terms; generating a content score for each of the documents based at least in part on a number of keywords found in the sections of each document; looking up at least some of the terms in the search index for attempting to match one or more of the terms to context information in the search index, the context information being associated with at least one of the documents; generating a context score based at least in part on the matching of terms to the context information; generating a document score for each of the documents based at least in part on the content score and the context score; and outputting an indicator of at least one of the documents, or portion thereof, for the at least one of the documents having a higher document score relative to other of the documents.

A system, method and computer program product for indexing a product identifier and logical parts thereof includes receiving a product identifier; splitting the product identifier into logical parts; indexing the product identifier and the individual logical parts in an index; and storing the index, wherein the index is created by encoding the product identifier and the individual logical parts of the product identifier into separate fields of a document, wherein different weights are assigned to separate fields based on the field types such as product identifier or logical parts of the product identifier field, wherein different weights are assigned to words based on the word types including bi-words, wherein the fields and weights are encoded to word positions in the document, wherein the weights affect a score generated upon performing a query using the index. A system, method and computer program product for processing a search query is also presented.

A system, method and computer program product for processing a search query is presented. The method according to one embodiment includes receiving a search query containing one or more terms; processing the query to add one or more bi-words as terms to the query; searching a search index having product identifiers and individual logical parts of the product identifiers in association with particular documents or portions thereof indexed into different fields in context and content parts of the index; generating a context score based on at least some of the terms matching the product identifiers and the individual logical parts in the context part of the index; generating a content score based on at least some of the terms matching content terms in the content part of the index; and generating a document score by combining the context score and content score.

A method for indexing a product identifier and logical parts thereof according to one embodiment of the present invention includes receiving a product identifier; splitting the product identifier into logical parts; indexing the product identifier and the individual logical parts in association with a particular document or portion thereof in an index; and storing the index. A method for processing a search query according to another embodiment of the present invention includes receiving a search query containing one or more terms; searching a search index containing complete product identifiers and variations thereof for attempting to match the one or more terms to the product identifiers or the variations thereof; and if one or more of the terms matches a complete product identifier or variation thereof, selecting and outputting an indicator of a document, or portion thereof, associated with the matching product identifier.

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Palo Alto, CA, United States of America

Manish Rathi