Online behavioral genome sequencing from usage logs: Decoding the search behaviors

WWW 2014 Companion - Proceedings of the 23rd International Conference on World Wide Web

Volumn , Issue , 2014, Pages 91-94

  Song, Yang ^a   Cui, Weiwei ^a   Liu, Shixia ^a   Wang, Kuansan ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

Person Alization; Search task identification; User behavior modeling

Indexed keywords

GENES; PROBABILITY DISTRIBUTIONS; SEMANTIC WEB; SEMANTICS; WEB SERVICES; WEBSITES; WORLD WIDE WEB;

GENOME SEQUENCING; ONLINE POPULATION; PERSON- ALIZATION; PREDICTING USER BEHAVIOR; QUERY SIMILARITY; RESEARCH COMMUNITIES; SEARCH TASKS; USER BEHAVIOR MODELING;

BEHAVIORAL RESEARCH;

EID: 84990950084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2567948.2577015     Document Type: Conference Paper

References (8)

1. P. N. Bennett and N. Nguyen. Refined experts: Improving classification in large taxonomies. In SIGIR '09, pages 11-18, New York, NY, USA, 2009. ACM.
2. A. Hassan, Y. Song, and L.-w. He. A task level metric for measuring web search satisfaction and its application on improving relevance estimation. In CIKM '11, pages 125-134, New York, NY, USA, 2011.
3. A. Kotov, P. N. Bennett, R. W. White, S. T. Dumais, and J. Teevan. Modeling and analysis of cross-session search tasks. In SIGIR '11, pages 5-14, 2011.
4. Z. Liao, Y. Song, L.-w. He, and Y. Huang. Evaluating the effectiveness of search task trails. In WWW '12, pages 489-498, New York, NY, USA, 2012. ACM.
5. C. Lucchese, S. Orlando, R. Perego, F. Silvestri, and G. Tolomei. Identifying task-based sessions in search engine query logs. In WSDM '11, pages 277-286, New York, NY, USA, 2011. ACM.
6. H. Wang, Y. Song, M.-W. Chang, X. He, R. W. White, and W. Chu. Learning to extract cross-session search tasks. In WWW '13, pages 1353-1364, Republic and Canton of Geneva, Switzerland, 2013. ACM.
7. R. W. White, W. Chu, A. Hassan, X. He, Y. Song, and H. Wang. Enhancing personalized search by mining and modeling task behavior. In WWW '13, pages 1411-1420. ACM, 2013.
8. W. Wu, H. Li, H. Wang, and K. Q. Zhu. Probase: A probabilistic taxonomy for text understanding. In SIGMOD '12, SIGMOD '12, pages 481-492, New York, NY, USA, 2012. ACM.