Towards Location-Based Personalized Voice Web Search on Smartphones

Web search engines used in smartphones need to be refined to capture the user’s perception and user’s search intentions. However, to design such a search engine is not trivial. Fuzzy query may be considered to obtain the user’s perception and user’s search intentions in voice Web search on smartphones. Handling fuzzy query in voice Web search on smartphones is one of the most difficult problems. It is mainly derived from the complexity and the degree of freedom of natural language. To reduce the complexity and the degree of freedom of fuzzy query in voice Web search on smartphones, attribute-driven approach for fuzzy query is proposed. In this paper, we design a prototype model for handling fuzzy query in voice Web search on smartphones. It is based on voice Web search, user’s physical location, search distance, search directory and user’s search intentions. The filtering ratio on search results of the proposed approach compared to existing smartphones is presented. In addition, by using the values of attributes for fuzzy term(s), we can achieve perception personalization and Web search engines return the personalized search results that users really want. It may be considered as a new explicit personalization method based on the values of attributes for fuzzy term(s) in smartphones. The proposed method is a further step towards location-based personalized voice Web search (LPVWS) for smartphone users.