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.
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Acknowledgement
The research is supported by “National Natural Science Foundation of China” (No. 61202095, No. 61073186) and “National Undergraduates’ Innovation and Entrepreneurship Training Program of China” (NO. 201310533018).
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Fei, H., Mo, T., Wang, Y., Wu, Z., Liu, Y., Kuang, L. (2015). The Searching Ranking Model Based on the Sharing and Recommending Mechanism of Social Network. In: Yao, L., Xie, X., Zhang, Q., Yang, L., Zomaya, A., Jin, H. (eds) Advances in Services Computing. APSCC 2015. Lecture Notes in Computer Science(), vol 9464. Springer, Cham. https://doi.org/10.1007/978-3-319-26979-5_16
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DOI: https://doi.org/10.1007/978-3-319-26979-5_16
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