计算机应用研究2017，Vol.34Issue(11)：3285-3290,3298,7.DOI:10.3969/j.issn.1001-3695.2017.11.019
一种考虑群成员接受度及相似度的群体推荐算法
Group recommendation algorithm with consideration of members' acceptance and similarity
摘要
Abstract
As personality varies from person to person,it was crucial for group recommendation to obtain the exact preference of group members especially when conflict of opinions existed among them.To response to this situation,this paper took into account the personality of group members and analyzed their acceptance degree to conflicting opinions by using the Thomas-Kilmann conflict mode instrument(TKI).Then it proposed a novel hybrid algorithm by considering the acceptance degree of group members along with their similarity to the group.An experiment with 185 participants is conducted.The results show that the proposed algorithm has significant improvement compared to benchmark methods.关键词
群体推荐/成员接受度/成员一群体相似度Key words
group recommendation/acceptance of group members/similarity of group members分类
信息技术与安全科学引用本文复制引用
王茜,邓伟伟,喻继军..一种考虑群成员接受度及相似度的群体推荐算法[J].计算机应用研究,2017,34(11):3285-3290,3298,7.基金项目
国家自然科学基金资助项目(71772187 （）
70971141) （）
广东省自然科学基金资助项目(2014A030313184) （2014A030313184）
国家教育部人文社会科学研究规划资助项目(15YJA630070) （15YJA630070）
