Using a graph-based ontological user profile for personalizing search

ABSTRACT

In this poster, we describe a personalized search approach, which involves a graph based user profile issued from ontology and a session boundary recognition mechanism. The user profile refers to the short term user interest and is used for re-ranking the search results of queries in the same search session. The session boundary recognition is based on tracking changes in the dominant concepts held by the query and the user profile. Experimental evaluation was carried out using the HARD 2003 TREC collection and shows that our approach is effective.

REFERENCES

• 1: Mariam Daoud , Lynda Tamine-Lechani , Mohand Boughanem, Learning user interests for a session-based personalized search, Proceedings of the second international symposium on Information interaction in context, October 14-17, 2008, London, United Kingdom [doi>10.1145/1414694.1414708]
• 2: Susan Gauch , Jason Chaffee , Alaxander Pretschner, Ontology-based personalized search and browsing, Web Intelligence and Agent Systems, v.1 n.3-4, p.219-234, December 2003
• 3: Fang Liu , Clement Yu , Weiyi Meng, Personalized Web Search For Improving Retrieval Effectiveness, IEEE Transactions on Knowledge and Data Engineering, v.16 n.1, p.28-40, January 2004 [doi>10.1109/TKDE.2004.1264820]
• 4: Xuehua Shen , Bin Tan , ChengXiang Zhai, Context-sensitive information retrieval using implicit feedback, Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval, August 15-19, 2005, Salvador, Brazil [doi>10.1145/1076034.1076045]

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval

General Terms:
Design, Experimentation, Performance

Keywords:
graph based user profile, ontology, personalization, session boundary recognition