PUMA
Istituto di Scienza e Tecnologie dell'Informazione     
Baraglia R., Perego R., Silvestri F., Cacheda F., Carneiro V., Formoso V. Search shortcuts using click-through data from the 2006 RFP dataset. In: WSCD 2009 - Web Search and Web Data Mining. 2009 Workshop on Web Search Click Data (Barcelona, Spain, 9 February 2009). Proceedings, pp. 48 - 55. ACM, 2009.
 
 
Abstract
(English)
Major Web Search Engines take as a common practice to provide Suggestions to users in order to enhance their search experience. Such suggestions have normally the form of queries that are, to some extent, similar" to the queries already submitted by the same or related users. The nal aim of query suggestions is typically to help users to satisfy their information needs more quickly. In this paper we face this problem from a somewhat di erent perspective, and we propose a new query suggestion model based on Search Shortcuts, that consist in nding and proposing to the user Successful" queries that allowed, in the past, several users to satisfy their informa- tion needs. This model di ers from traditional query sugges- tion approaches, and allows the evaluation to be performed e ectively by exploiting actual user sessions from the Mi- crosoft 2006 RFP dataset. We evaluate several algorithms applied to this problem, both traditional Collaborative Fil- tering techniques and ad-hoc solutions, and report on pre- liminary results achieved.
URL: http://portal.acm.org/toc.cfm?id=1507509&coll=GUIDE&dl=GUIDE&type=proceeding&idx=SERIES11625&part=series&WantType=Proceedings&title=WSDM&CFID=71219557&CFTOKEN=54898143
DOI: http://doi.acm.org/10.1145/1507509.1507517
Subject Recommendation
Query suggestion
H.3.3 Information Search and Retrieval


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