PairWise Ranking在推荐系统中的应用与探索
首发时间:2016-12-22
摘要:随着互联网行业的快速发展,网络成为人类生活与发展必不可少的工具。但也正是由于网络的发展,信息爆炸式的增长,给人们带来了'信息过载'的困扰,为了解决人们筛选有用信息的问题,推荐系统应运而生。本文主要研究了推荐系统中top-N推荐的问题。针对具体数据,对传统的PairWise排序模型做一定修改并应用到推荐系统中,取得了一定效果。
关键词: 推荐系统 top-N PairWise Ranking 信息过载
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PairWise Ranking method in the application and exploration of recommender system
Abstract:With the rapid development of Internet industry, network become the tools of human life and development. But it is also the because of the development of network, the information grow explosively, and has brought people 'information overload' problem, in order to solve the problem, recommendation system arises at the historic moment. This paper mainly studied the top - N problems in the recommendation system. Based on the data, this paper the modified traditional PairWise Ranking model and applied it to the recommendation system, and it works well.
Keywords: recommendation system top-N PairWise Ranking information overload
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