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Review Papers | Computer Science & Engineering | India | Volume 3 Issue 12, December 2014

Review On: Advanced and Robust Personalized Mobile Search Engine

Yogesh B. Jadhao | Shyam S. Gupta

Abstract: Internet is a fastest growing technology. On every second large amount of information is searched by different people. Thats why the internet becomes the great source of information. But this information consists of many redundant and ambiguous data which is not useful for user. As the world has been digitized and all the serach now takes place through handy devices and mobiles, so the query typing process of users has reduced and users try to minimize typing long queries and thereby increase search engine ambiguity. Sothe search results showing again and again same irrelevant results which leads to headache to the user. Many search engines give unnecessary results of user query which are not expected by the user. There is lots of research done to overcome this problem but exact solution is being difficult to find as the technology is continuously growing. To build a better solution on this problem we proposed a mobile search engine which will be useful to find the exact match of user query. Here we are using the clickthrough log data given by user to match his exact expectation. We are also using the location based searching for retrieving a better search results

Keywords: Clickthrough data, concept, location search, mobile search engine, ontology, personalization, user profiling

Edition: Volume 3 Issue 12, December 2014,

Pages: 524 - 527