Design of Query Suggestion System using Search Logs and Query Semantics
Mayank Arora, Neelam Duhan · 2013
Query suggestion is an assistive technology mechanism commonly used in search engines to enable a user to formulate their search queries. Query suggestion extends the feature of search engine which helps users to describe their information needs more clearly. Building an efficient query suggestion system, however, is very difficult due to the fundamental challenge of predicting users’ search intent, especially given the limited user context information. The proposed system based on both users’ query actual semantic meanings from online dictionary sites and learning from query logs which predicts user information needs. To achieve this, the first method uses the online dictionary resource to find the context of the query and second method mines the search logs using a similarity function to perform query clustering from search logs and provides the recommendations.