Special Issue Article Open Access

Optimized Re-Ranking In Mobile Search Engine Using User Profiling

Abstract

Mobile search needs better interaction between user and server usually this interaction is not efficient due to many factors. To overcome this we going for personalization concept. By which searching is more efficient. In this paper, we propose a realistic design for personalization by adopting the metasearch approach, click through data, user profiling which is based on client server model. The client is responsible for receiving the user’s requests, submitting the requests to the personalisation server, displaying the returned results, and collecting his/her clicked data in order to derive his/her individuals preferences. The Personalization server, on the other hand, is responsible for dealing with tasks such as forwarding the requests to a commercial search engine, then training and reranking of search results before they are returned to the client. The profiles of specific users are stored on the Personalization clients, thus preserving privacy to the users.

A.VINCY, M.KALAIYARASI, C.KALAIYARASI

To read the full article Download Full Article