AUTO-SCALED BAYESIAN BROWSING MODEL IN MASSIVE DATA
In the field of information retrieval,the method of building a click model by mining.click logs to improve the effect of the search engine has been widely studied.And Bayesian Browsing Model (BBM),for the calculation of the operability and the effectiveness of the result,is widely used.However,when applied in engineering,especially for the situation of large scale data,this model will not perform properly.This problem is described analytically and shown by numerical experiments in this paper.For this problem,an auto-scaled BBM method is proposed.Experiments show that the new method solves the problem of original BBM,and have a better performance in terms of NDCG.
Click model Bayesian Click logs
Liyun Ru Anhui Wang Yingying Wu Shaoping Ma
State Key Laboratory of Intelligent Technology and Systems,Tsinghua National Laboratory for Informat Sogou.com Corporation,Beijing 100084,China Graduate School of Arts and Sciences,Harvard University,Cambridge,MA 02138,USA
国际会议
杭州
英文
39-43
2012-10-30（万方平台首次上网日期，不代表论文的发表时间）