A User Preference Based Search Engine

  Dondeti Swedhan,  L.N.B Srinivas

In this paper, we describe the design and initial implementation of a user preference mobile search engine (UPMSE) that captures the users’ preference in the form of concepts by mining their clickthrough data. UPMSE classifies these concepts into content concepts and location concepts. In addition, users’ locations (positioned by GPS) are used to supplement the location concepts in UPMSE. This search engines provide a flexible interface to the web that allows users to constrain and order search results in an intuitive manner. In this we present an approach to automatically optimizing the retrieval quality of searching using clickthrough data. A good information retrieval system should present relevant document high in the ranking. We develop a new preference mining technique called SpyNB, based on the practical assumption that the search results clicked on by the user reflects the user's preferences, but it does not draw any conclusions about the results that the user did not click on. We also show that the efficiency of SpyNB is comparable to existing simple preference mining algorithms.

Keywords- Clickthrough data, concept, location search, mobile search engine, preference, user profiling.

Unique Identification Number - IJEDR1502001
Page Number(s) - 1-6
Pubished in - Volume 3 | Issue 2 | May 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Dondeti Swedhan,  L.N.B Srinivas,   "A User Preference Based Search Engine", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.1-6, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502001.pdf