opinion mining and preferences mining in mobile search
P. Anandajayam, D. Ashok Kumar · International Journal of Advanced Research in Computer Science · 2014
Mobile device communication with users serves various purposes such as location search, map, navigation etc. It also helps user connect with search engines. But the search query is limited to small words unlike those used when interacting with search engines through computers. This leads to drawback in effective communication between the user and the server through mobile device, as there are limitations in mobile device. Hence our proposed solution aids in better and faster result retrieval from querying search engine through mobile by using user’s profile information in a secure way. Ontology ranked keyword search algorithm is used to examine and clean search queries and rank results accordingly. Users search history is stored locally and search results are provided by the server in preference to existing search history information. The search history preferences are categorize based on mining the content and location information along with the user’s profile. Ranking of results helps the end user in easy access to the needed source, thus proving to be efficient. Our proposed system provides an innovative approach of searching the data on the input text, pattern of the text, spatial information relative search, User type specific search and finally Ontology based Search.