TY - GEN
T1 - Investigating characteristics of non-click behavior using query logs
AU - Yao, Ting
AU - Zhang, Min
AU - Liu, Yiqun
AU - Ma, Shaoping
AU - Zhang, Yongfeng
AU - Ru, Liyun
N1 - Funding Information:
Supported by Natural Science Foundation (60736044, 60903107) and Research Fund for the Doctoral Program of Higher Education of China (20090002120005).
PY - 2010
Y1 - 2010
N2 - Users' query and click behavior information has been widely used in relevance feedback techniques to improve search engine performance. However, there is a special kind of user behavior that submitting a query but not clicking any result returned by search engines. Queries ending with non-click make up a large fraction of user search activities, but few studies on them have been done in user behavior analysis. In this paper we investigate non-click behavior using large scale search logs from a commercial search engine. We analyze query and non-click behavior characteristics on three levels, i.e., query, session and user level. Query frequency, search engine returned results and category of information need are observed to be relative to non-click behavior. There are significant differences between post-query actions of clicked and non-clicked queries. Users' personal preference can also results in non-click behavior. Our findings have implications for separating queries which are handled well or not by search engines and are useful in user behavior reliability study.
AB - Users' query and click behavior information has been widely used in relevance feedback techniques to improve search engine performance. However, there is a special kind of user behavior that submitting a query but not clicking any result returned by search engines. Queries ending with non-click make up a large fraction of user search activities, but few studies on them have been done in user behavior analysis. In this paper we investigate non-click behavior using large scale search logs from a commercial search engine. We analyze query and non-click behavior characteristics on three levels, i.e., query, session and user level. Query frequency, search engine returned results and category of information need are observed to be relative to non-click behavior. There are significant differences between post-query actions of clicked and non-clicked queries. Users' personal preference can also results in non-click behavior. Our findings have implications for separating queries which are handled well or not by search engines and are useful in user behavior reliability study.
KW - Non-click behavior
KW - click-through log
KW - query session analysis
UR - http://www.scopus.com/inward/record.url?scp=78650912010&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-17187-1_8
DO - 10.1007/978-3-642-17187-1_8
M3 - Conference contribution
AN - SCOPUS:78650912010
SN - 3642171869
SN - 9783642171864
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 85
EP - 96
BT - Information Retrieval Technology - 6th Asia Information Retrieval Societies Conference, AIRS 2010, Proceedings
T2 - 6th Asia Information Retrieval Societies Conference, AIRS 2010
Y2 - 1 December 2010 through 3 December 2010
ER -