标题:Ranking keyword search results with query logs
作者:Zhou, Jing ;Yu, Xiaohui ;Liu, Yang ;Yu, Ziqiang
通讯作者:Yu, Xiaohui
作者机构:[Zhou, Jing ;Yu, Xiaohui ;Liu, Yang ;Yu, Ziqiang ] School of Computer Science and Technology, Shandong University, Jinan, Shandong; 250101, China;[Yu, 更多
会议名称:3rd IEEE International Congress on Big Data, BigData Congress 2014
会议日期:27 June 2014 through 2 July 2014
来源:Proceedings - 2014 IEEE International Congress on Big Data, BigData Congress 2014
出版年:2014
页码:770-771
DOI:10.1109/BigData.Congress.2014.115
关键词:candidate network; keyword search; relational databases
摘要:Keyword search provides a uniform way of accessing the vast volume of structured and unstructured data present in many enterprises. Existing research on improving the effectiveness of the keyword search has largely focused on result ranking mechanisms, with little consideration given to user feedback. We are working towards developing a new approach to ranking the results of keyword search over structured data (stored in databases) using feedback information in the form of query logs. Our work is based on the schema-graph-based approach to keyword search, which consists of a candidate network (CN) generation phase and a CN evaluation phase. Our proposal is to extract the frequent patterns from the query log of a user (or a user group) and use them in ranking the CNs generated by the first phase. We present a concise description of our approach and lay out our plan for the next stage of research. Preliminary experiment results on a real dataset are also included. © 2014 IEEE.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84923934072&doi=10.1109%2fBigData.Congress.2014.115&partnerID=40&md5=904ce71253f762afe547e3065c35d721
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