Time-dependent semantic similarity measure of queries using historical click-through data

• Main Authors: ZHAO, Qiankun, HOI, Steven C. H., LIU, Tie-Yan, BHOWMICK, Sourav S., LYU, Michael R., MA, Wei-Ying
• 格式: text
• 語言: English
• 出版: Institutional Knowledge at Singapore Management University 2006
• 主題: click-through data; semantic similarity measure; marginalizedkernel; event detection; evolution pattern; Computer Sciences; Databases and Information Systems
• 在線閱讀: https://ink.library.smu.edu.sg/sis_research/2391; https://ink.library.smu.edu.sg/context/sis_research/article/3391/viewcontent/ClickModel_WWW_06.pdf

It has become a promising direction to measure similarity of Web search queries by mining the increasing amount of click-through data logged by Web search engines, which record the interactions between users and the search engines. Most existing approaches employ the click-through data for similarit...