Abstract: Methods, systems, and apparatus for accessing a set of feedback items, identifying a candidate feedback item from the set of feedback items using a lexical pattern, generating a gist phrase that summarizes the candidate feedback item, and causing display of a user interface on a client device, the user interface including the gist phrase.

Abstract: A method and system for analyzing sites is described. A scanner module scans listings of an online publication. A quality engine analyzes the quality of the listings. A data collection module collects defective conditions of the listings determined by the quality engine. A report module reports the defective conditions of the listings. An auto correction module automatically corrects at least a first portion of the defective conditions of the listings. A manual correction module enables an operator of the online publication to correct at least a second portion of the defective conditions of the listings.

Abstract: Methods, systems, and apparatus for accessing a set of feedback items, identifying a candidate feedback item from the set of feedback items using a lexical pattern, generating a gist phrase that summarizes the candidate feedback item, and causing display of a user interface on a client device, the user interface including the gist phrase.

Abstract: A method and system for analyzing sites is described. A scanner module scans listings of an online publication. A quality engine analyzes the quality of the listings. A data collection module collects defective conditions of the listings determined by the quality engine. A report module reports the defective conditions of the listings. An auto correction module automatically corrects at least a first portion of the defective conditions of the listings. A manual correction module enables an operator of the online publication to correct at least a second portion of the defective conditions of the listings.

Abstract: Methods, systems, and apparatus for mining feedback are described. A set of one or more lexical patterns associated with one or more of a suggestion and a defect report are determined and the set of one or more lexical patterns are matched against a plurality of feedback items to generate a distance learning training set. A distance learning technique is applied to the distance learning training set to generate a distance learning model and the distance learning model is used to identify one or more candidate feedback items of the plurality of feedback items, each of which is one or more of a candidate suggestion and a candidate defect report.

Abstract: A method and system for analyzing sites is described. A scanner module scans listings of an online publication. A quality engine analyzes the quality of the listings. A data collection module collects defective conditions of the listings determined by the quality engine. A report module reports the defective conditions of the listings. An auto correction module automatically corrects at least a first portion of the defective conditions of the listings. A manual correction module enables an operator of the online publication to correct at least a second portion of the defective conditions of the listings.

Abstract: A method and system for analyzing sites is described. A scanner module scans listings of an online publication. A quality engine analyzes the quality of the listings. A data collection module collects defective conditions of the listings determined by the quality engine. A report module reports the defective conditions of the listings. An auto correction module automatically corrects at least a first portion of the defective conditions of the listings. A manual correction module enables an operator of the online publication to correct at least a second portion of the defective conditions of the listings.

Abstract: A method and system for analyzing sites is described. A scanner module scans listings of an online publication. A quality engine analyzes the quality of the listings. A data collection module collects defective conditions of the listings determined by the quality engine. A report module reports the defective conditions of the listings. An auto correction module automatically corrects at least a first portion of the defective conditions of the listings. A manual correction module enables an operator of the online publication to correct at least a second portion of the defective conditions of the listings.

Abstract: Methods, systems, and apparatus for mining feedback are described. A set of one or more lexical patterns associated with one or more of a suggestion and a defect report are determined and the set of one or more lexical patterns are matched against a plurality of feedback items to generate a distance learning training set. A distance learning technique is applied to the distance learning training set to generate a distance learning model and the distance learning model is used to identify one or more candidate feedback items of the plurality of feedback items, each of which is one or more of a candidate suggestion and a candidate defect report.

Abstract: A method and system for analyzing sites is described. A scanner module scans listings of an online publication. A quality engine analyzes the quality of the listings. A data collection module collects defective conditions of the listings determined by the quality engine. A report module reports the defective conditions of the listings. An auto correction module automatically corrects at least a first portion of the defective conditions of the listings. A manual correction module enables an operator of the online publication to correct at least a second portion of the defective conditions of the listings.

Abstract: Methods, systems, and apparatus for mining feedback are described. A set of one or more lexical patterns associated with one or more of a suggestion and a defect report are determined and the set of one or more lexical patterns are matched against a plurality of feedback items to generate a distance learning training set. A distance learning technique is applied to the distance learning training set to generate a distance learning model and the distance learning model is used to identify one or more candidate feedback items of the plurality of feedback items, each of which is one or more of a candidate suggestion and a candidate defect report.

Abstract: A method and a system to identify machine-readable codes using a web crawler are provided. Machine-readable codes include, but are not limited to, Universal Product Codes (UPC), quick response (QR) codes, stock-keeping units (SKUs) and international standard book number (ISBN) codes. A web crawler downloads pages from the World Wide Web. A determination module accesses the downloaded pages and identifies a machine-readable code corresponding to a product description included in the downloaded pages. The machine-readable code is included in a downloaded page of the downloaded pages. The determination module further extracts the product description from the downloaded page. A code database stores a record of the machine-readable code and the product description.

Abstract: Methods, systems, and apparatus for mining feedback are described. A set of one or more lexical patterns associated with one or more of a suggestion and a defect report are determined and the set of one or more lexical patterns are matched against a plurality of feedback items to generate a distance learning training set. A distance learning technique is applied to the distance learning training set to generate a distance learning model and the distance learning model is used to identify one or more candidate feedback items of the plurality of feedback items, each of which is one or more of a candidate suggestion and a candidate defect report.

Abstract: A method and a system to identify machine-readable codes using a web crawler are provided. Machine-readable codes include, but are not limited to, Universal Product Codes (UPC), quick response (QR) codes, stock-keeping units (SKUs) and international standard book number (ISBN) codes. A web crawler downloads pages from the World Wide Web. A determination module accesses the downloaded pages and identifies a machine-readable code corresponding to a product description included in the downloaded pages. The machine-readable code is included in a downloaded page of the downloaded pages. The determination module further extracts the product description from the downloaded page. A code database stores a record of the machine-readable code and the product description.

Abstract: The method and apparatus of the present invention provide for selection of the optimum mirror site server for a particular client request preferably using anycast IP addressing. Additionally, network performance data such as data pipe load, server load and server configuration are considered to ensure that each communication transaction is completed using the best performance available at the time of the client request.