Personalized ranking: A contextual ranking approach

Proceedings of the ACM Symposium on Applied Computing

Volumn , Issue , 2007, Pages 506-510

  You, Gae Won ^a   Hwang, Seung Won ^a  

^a Pohang University of Science and Technology (POSTECH)   (South Korea)

Author keywords

Context sensitive ranking; Personalization

Indexed keywords

DATA STRUCTURES; LEARNING SYSTEMS; SEARCH ENGINES; WORLD WIDE WEB;

CONTEXT-SENSITIVE RANKING; PERSONALIZATION; TEXT RETRIEVAL; USER-SPECIFIC INFORMATION;

INFORMATION RETRIEVAL;

EID: 35248897969     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1244002.1244119     Document Type: Conference Paper

References (16)

1. Jaime Teevan, Susan T.Dumais, and Eric Horvitz. Personalizing search via automated analysis of interests and activities. In Proc. of SIGIR, 2005.
2. Masahiro Morita and Yoichi Shinoda. Information filtering based on user behavior analysis and best match text retrieval. In Proc. of SIGIR, 1994.
3. Kazunari Sugiyama, Kenji Hatano, and Masatoshi Yoshikawa. Adaptive web search based on user profile constructed without any effort from users. In Proc. of www, 2004.
4. Xuehua Shen and ChengXiang Zhai. Exploiting query history for document ranking in interactive information retrieval. In Proc. of SIGIR, 2003.
5. Apostolos Kritikopouls and Martha Sideri. The compass filter: Search engine result personalization using web communities. In Proc. of ITWP, 2003.
6. Filip Radlinski and Thorsten Joachims. Query chains: Learning to rank from implicit feedback. In Proc. of KDD, 2005.
7. Rakesh Agrawal, Ralf Rantzau, and Evimaria Terzi. Context-sensitive ranking. In Proc of SIGMOD, 2006.
8. L. Page, S. Brin, R. Motwani, and T.Winograd. The pagerank citation ranking : Bringing order to the web. In Technical report, Stanford University Database Group, 1998.
9. Jon M. Kleinberg. Authoritative sources in a hyperlinked environment. In Journal of the ACM, 1999.
10. Philippe Jacquet, Bonita McVey, and Wojciech Szpankowski. Compact suffix trees resemble patricia tries: Limiting distribution of the depth.
11. Hwanjo Yu, Seung won Hwang, and Kevin Chen-Chuan Chang. RankFP: A framework for supporting rank formulation and processing. In Proc. of ICDE, 2005.
12. V. N. Vapnik. Statistical Learning Theory. John Wiley and Sons, 1998.
13. Ronald Fagin. Combining fuzzy information from multiple systems. In Proc. of PODS, 1996.
14. Ronald Fagin, Amnon Lotem, and Moni Naor. Optimal aggregation algorithms for middleware. In Proc. of PODS, 2001.
15. Kevin Chen-Chuan Chang and Seung won Hwang. Minimal probing: Supporting expensive predicates for top-k queries. In Proc. of SIGMOD, 2002.
16. Rakesh Agrawal, Tomasz Imielinski, and Arun Swami. Mining association rules between sets of items in large databases. In Proc. of SIGMOD, 1993.