Search shortcuts: a new approach to the recommendation of queries (Contributo in atti di convegno)

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Label
  • Search shortcuts: a new approach to the recommendation of queries (Contributo in atti di convegno) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Alternative label
  • Ranieri Baraglia2; Fidel Cacheda1; Victor Carneiro1; Diego Fernández1; Vreixo Formoso1; Raffaele Perego2; Fabrizio Silvestri2 (2009)
    Search shortcuts: a new approach to the recommendation of queries
    in ACM Conference on Recommender Systems, New York City
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Ranieri Baraglia2; Fidel Cacheda1; Victor Carneiro1; Diego Fernández1; Vreixo Formoso1; Raffaele Perego2; Fabrizio Silvestri2 (literal)
Pagina inizio
  • 77 (literal)
Pagina fine
  • 84 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: ACM RecSys 2009 - ACM Conference on Recommender Systems (New York City, October 23-25 2009). Proceedings, pp. 77 - 84. ACM, 2009. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • ABSTRACT: The recommendation of queries, known as query suggestion, is a common practice on major Web Search Engines. It aims to help users to find the information they are looking for, and is usually based on the knowledge learned from past interactions with the search engine. In this paper we pro- pose a new model for query suggestion, the Search Shortcut Problem, that consists in recommending \"successful \" queries that allowed other users to satisfy, in the past, similar infor- mation needs. This new model has several advantages with respect to traditional query suggestion approaches. First, it allows a straightforward evaluation of algorithms from available query log data. Moreover, it simplifies the ap- plication of several recommendation techniques from other domains. Particularly, in this work we applied Collaborative Filtering to this problem, and evaluated the interesting re- sults achieved on large query logs from AOL and Microsoft. Different techniques for analyzing and extr (literal)
Note
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1 University of A Coruña, Campus de Elviña s/n, 15017 A Coruña SPAIN 2 ISTI - CNR, Via G. Moruzzi 1, 56124 Pisa, ITALY (literal)
Titolo
  • Search shortcuts: a new approach to the recommendation of queries (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-60558-435-5 (literal)
Abstract
  • The recommendation of queries, known as query suggestion, is a common practice on major Web Search Engines. It aims to help users to nd the information they are looking for, and is usually based on the knowledge learned from past interactions with the search engine. In this paper we propose a new model for query suggestion, the Search Shortcut Problem, that consists in recommending \successful\" queries that allowed other users to satisfy, in the past, similar information needs. This new model has several advantages with respect to traditional query suggestion approaches. First, it allows a straightforward evaluation of algorithms from available query log data. Moreover, it simplies the application of several recommendation techniques from other domains. Particularly, in this work we applied Collaborative Filtering to this problem, and evaluated the interesting results achieved on large query logs from AOL and Microsoft. Different techniques for analyzing and extracting information from query logs, as well as new metrics and techniques for measuring the effectiveness of recommendations are proposed and evaluated. The results obtained clearly show the importance of several of our contributions, and open an interesting eld for future research. (literal)
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