情报杂志2016，Vol.35Issue(9)：192-198,7.DOI:10.3969/j.issn.1002-1965.2016.09.034
基于在线评论信息挖掘的动态用户偏好模型构建
Building Dynamic User Preference Model Based on Information Mining of Online Reviews
摘要
Abstract
Purpose/Significance] The paper made up the deficiency of user preference information collection based on rating informa-tion through the advantages of domain ontology in mining information hierarchically and building user preference model. [ Method/Process] Firstly, based on the hierarchy of domain ontology, the hierarchical product attributes set were built through the conceptual map-ping of ontology. Secondly, based on cascading CRFs model and emotional dictionary, the hierarchical analysis of emotional orientation was achieved. And on this basis, the hierarchical mining of user preference information was realized. Finally, the paper built the dynamic user preference model by ontology modeling method, and kept the ontology of user preference dynamic update. [ Result/Conclusion] Simulation experiments conducted simulate an online shopping recommender system which contains 100 users. Through comparative analy-sis with other user preference modeling methods, the accuracy and validity of the model are verified.关键词
在线评论/领域本体/用户偏好/情感倾向性Key words
online reviews/domain ontology/user preference/emotion orientation分类
信息技术与安全科学引用本文复制引用
李金海,何有世,马云蕾,李治文..基于在线评论信息挖掘的动态用户偏好模型构建[J].情报杂志,2016,35(9):192-198,7.基金项目
国家自然科学基金项目“多维组间网络外部性下B2B平台交易机制与竞争策略研究”(编号:71302087) （编号:71302087）
江苏省普通高校研究生科研创新计划项目“大数据环境下融合情感分析的目标在线评论挖掘研究”(编号:KYZZ 0287)研究成果之一。 （编号:KYZZ 0287）
