发明名称 Mining for product classification structures for internet-based product searching
摘要 A product search engine uses web-crawling software to index textual webpage content from multiple internet sources. The product data obtained from the web-crawling process is then granulized by parsing methods into key words, such as, words and/or phrases. These components are compared with existing key words from search queries or webpage content. Each key word includes component tags, where the component tags map each component to product classification information in the form of structural parameters; and other product information such as, URLs, product images and product descriptions. When at least one matching key word is found, structural parameters are extracted from the matching components and assigned to the received key words. A search results webpage including product information grouped by associated structural parameter may be provided.
申请公布号 US9171088(B2) 申请公布日期 2015.10.27
申请号 US201113081033 申请日期 2011.04.06
申请人 GOOGLE INC. 发明人 Thakur Shashidhar A.;Fernandes Neil
分类号 G06F17/30 主分类号 G06F17/30
代理机构 Johnson, Marcou & Isaacs, LLC 代理人 Johnson, Marcou & Isaacs, LLC
主权项 1. A computer-implemented method for classifying search results responsive to a search query, comprising the steps of: maintaining, by a computer, a product database that associates each of a plurality of key words with a respective one or more structural parameters, each structural parameter comprising one of a product type, a brand name, a manufacturer, a product attribute, a product retailer, a product line, and a product discount; receiving, by the computer, a search query; identifying, by the computer, a match between one of a plurality of key words and at least a portion of the search query; in response to determining that at least one of the key words matches at least a portion of the search query, associating, by the computer, each structural parameter of each matching key word with the matching portion of the search query;verifying, by the computer, a contextual similarity between the matching portion of the search query and the structural parameter associated with the identified key words, the contextual similarity verification comprising parsing web content using a pre-determined contextual phrase, the contextual phrase comprising the structural parameter associated with each matching key word;in response to determining the contextual similarity between the one or more matching key words and the identified structural parameter, extracting, by the computer, product names associated with the matching key words in the product database and associated product URL information; anddisplaying, by the computer, a search result comprising the extracted product names and product URL information arranged by the identified structural parameters.
地址 Mountain View CA US