The Searching Ranking Model Based on the Sharing and Recommending Mechanism of Social Network

Hongxiao Fei, Tianchi Mo, Yang Wang, Zequan Wu, Yihuan Liu, Li Kuang

Abstract: The combination of social network and search engine is the trend of internet in coming years. Through introducing the widely utilized sharing and recommending mechanism in social network to search engine, this paper proposes a new searching ranking model. This model judges the quality of web pages and decide what extent do they meet users’ personalized need through analyzing the records of users’ social circle’s behavior of sharing and recommending. Then, it can make search engine provide users with personalized results sequences. Both the experiment and the theoretical analysis show the proposed model can automatically help users to select the high quality search results, and provide users with better personalized service.