发明名称 SUGGESTION OF A BROAD-SPECTRUM LIST OF GROUPED NATURAL LANGUAGE SEARCH QUERY TERMS
摘要 The present disclosure relates to applying entity analytics to a natural language-based search engine. According to one embodiment, a search query having at least a first term is received. One or more second terms having a relationship to the first term is identified based on prior search queries. The relationship indicates that the first term has been observed with the second term in the prior search queries on at least a specified number of occasions over a specified duration. One or more predictive suggestions for completing the search query is generated. Each predictive suggestion includes at least the first term or an identified equivalent of the first term and at least one of the one or more second terms.
申请公布号 US2016063020(A1) 申请公布日期 2016.03.03
申请号 US201514693560 申请日期 2015.04.22
申请人 International Business Machines Corporation 发明人 KRAUSS Kirk J.
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
主权项 1. A method for suggesting a search query based on terms, the method comprising: receiving, via a processor, a search query having at least a first term; identifying one or more second terms having a relationship to the first term based on prior search queries, wherein the relationship indicates that the first term has been observed with the second term in the prior search queries on at least a specified number of occasions over a specified duration; and generating one or more predictive suggestions for completing the search query, each including both at least the first term or an identified equivalent of the first term and at least one of the one or more second terms.
地址 Armonk NY US