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Information Technology Journal
  Year: 2012 | Volume: 11 | Issue: 8 | Page No.: 1056-1062
DOI: 10.3923/itj.2012.1056.1062
Query Suggestion Generation Methods for Mobile Phones
W. Aisha Banu, P. Sheik Abdul Khader and R. Shriram

The Internet is a powerful vehicle of communication. It is widely used by billions of users in their daily activities. The large content of information on the web is essentially useless unless this wealth of information can be discovered and consumed by other users. This study, focuses on the problem of information retrieval through mobile phones. As the web becomes more and more accessible through mobile phones, there is a need for better mechanisms for access of the content. The key problem is that apart from the limitations of the domain such as small screen size, limited processing capability etc., there is a need for increasing the relevance of the content shown to the users. One of the causes of the non-relevant information being retrieved is the query ambiguity. The relevance of information retrieved can be improved by the use of query suggestions. The aim is to narrow down the scope of the query. This study focuses on a unique method for improving the quality of suggestions generated for the user queries from the web. The effect of the query suggestions on increasing the relevance of the user queries has been outlined. The results show considerable promise and can potential lead to significant further research in the domain.
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  •    A New Term-ranking Approach that Supports Improved Searching in Literature Digital Libraries
  •    Information Retrieval through Mobile Devices using Semantic Ontology
  •    Agent Based Information Retrieval System Using Information Scent
  •    Using Explicit Measures to Quantify the Potential for Personalizing Search
How to cite this article:

W. Aisha Banu, P. Sheik Abdul Khader and R. Shriram, 2012. Query Suggestion Generation Methods for Mobile Phones. Information Technology Journal, 11: 1056-1062.

DOI: 10.3923/itj.2012.1056.1062








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