抽象的

Optimized Re-Ranking In Mobile Search Engine Using User Profiling

A.VINCY, M.KALAIYARASI, C.KALAIYARASI

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.

免责声明: 此摘要通过人工智能工具翻译,尚未经过审核或验证