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Understanding search users: What have been achieved and what haven’t?

模式识别学术大讲堂

Advanced Lecture Series in Pattern Recognition

题    目 (TITLE):Understanding search users: What have been achieved and what haven’t?

(SPEAKER)Prof. Jian-Yun Nie (University of Montreal)

(CHAIR)Prof. Chengqing Zong

     (TIME):July 22(Tuesday), 2014, 10:00AM

    (VENUE):No.1 Conference Room (3rd floor), Intelligence Building

报告摘要(ABSTRACT):

In information retrieval (IR) and search engines, the quality of an answer strongly depends on how well the user’s query is correctly understood. In this talk, I will distinguish several levels of query understanding, from basic term weighting to search intent understanding and question answering. I will describe the general approaches and the progress made in this direction. Although the current search engines often exhibit some level of intelligence in understanding user’s queries and search intents, we are still far from the ultimate goal of true understanding. I will discuss about the key issues to be addressed for this ultimate goal.

报告人简介(BIOGRAPHY):

Jian-Yun Nie is a professor in University of Montreal. He has been working in the areas of information retrieval and natural language processing for about 25 years. His research topics include information retrieval models, cross-language information retrieval, query expansion and understanding, etc. Jian-Yun Nie has published a number of papers on these topics and his papers have been widely cited. He is on editorial boards of 7 international journals, and is a regular PC member of the major conferences in these areas. In particular, he has been the general chair of SIGIR conference in 2011 held in Beijing.

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中科院自动化研究所 模式识别国家重点实验室 事业单位  京ICP备14019135号-3
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