Efficient Query Suggestion System using Users Search History
Prajakta Shinde, Rupali Waghmode -, Deepali Lokare, Prasad S. Halgaonkar · 2018
With the growing information burst on the World Wide Web, internet has placed high demands on search engines. Existing search engines provide most of the features for user query. But users of internet are not satisfied with them as they return thousands of documents in response to user query. So to develop user search intent application is challenging, satisfying increased expectations and diverse needs of user. Recorded user sessions/search logs are analyzed and used to form clusters. This clustering of user query is imperative for filtering the relevant results from web. Thus, by automating the optimization process we minimize user efforts; maximize user satisfaction for getting desired search.