News Recommendation in Forum-Based Social Media

被引：0
|
作者：
Wang, Jia [1 ]
Li, Qing [1 ]
Chen, Yuanzhu Peter [2 ]
Liu, Jiafen [1 ]
Zhang, Chen [1 ]
Lin, Zhangxi [1 ]
机构：
[1] Southwestern Univ Finance & Econ, Chengdu, Peoples R China
[2] Mem Univ Newfoundland, St John, NF A1C 5S7, Canada
来源：
PROCEEDINGS OF THE TWENTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE (AAAI-10) | 2010年
基金：
中国国家自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Self-publication of news on Web sites is becoming a common application platform to enable more engaging interaction among users. Discussion in the form of comments following news postings can be effectively facilitated if the service provider can recommend articles based on not only the original news itself but also the thread of changing comments. This turns the traditional news recommendation to a "discussion moderator" that can intelligently assist online forums. In this work, we present a framework to implement such adaptive news recommendation. In addition, to alleviate the problem of recommending essentially identical articles, the relationship (duplication, generalization or specialization) between suggested news articles and the original posting is investigated. Experiments indicate that our proposed solutions provide an enhanced news recommendation service in forum-based social media.
引用
收藏
页码：1449 / 1454
页数：6
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