A prediction search based on changes of queries and search results

  • Authors:
  • Manabu Ohta;Ryoji Fujita

  • Affiliations:
  • Okayama University, Tsushima-naka, Kita-ku, Okayama-shi, Okayama, Japan;Okayama University, Tsushima-naka, Kita-ku, Okayama-shi, Okayama, Japan

  • Venue:
  • Proceedings of the 4th International Conference on Uniquitous Information Management and Communication
  • Year:
  • 2010

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Abstract

We propose a prediction search which infers a user's search intention based on a change in the search results and searches the Web for an automatically generated query on behalf of the user. In addition to the change of search results, we also utilize a change of the user's queries for inferring his intention. In this paper, we evaluate our implemented prototype system in comparison with searches of Google's suggesting queries and of those suggested by pseudo relevance feedback. We also quantitatively evaluate effects of making query change patterns reflected in the prediction search.