燕山大学学报Issue(6)：523-531,543,10.DOI:10.3969/j.issn.1007-791X.2014.06.007
不一致数据库中基于用户语义模板的评论可信度计算
Calculating reliability of reviews in inconsistent database according to semantic pattern of reviewers
摘要
Abstract
In the application of inconsistent database which can't be cleaned, the reviews from the informed user which includs the correct values can help others identify the error data and get useful from the inconsistent database. But only reliable reviews are meaningful, so calculation reliability of users' review is one of most important problems in this kind of application. Different from the internet, relational database based applications are generally accessed to dedicated users, the characteristics of the user can be more easily to be extracted and their semantic meanings are determined. The users who submit the similar reviews to the same object commonly have the same background or semantic features. Based on that, an algorithm is presented to calculate the credibility of users'reviews in this paper. The algorithm firstly try to discover user's feature pattern by mining community of users who reviewed the same object with the similar accuracy and achieving their common features, then for a new review, its credibility is evaluated by the matching degree according to the matching degree of its reviewer and the user's feature pattern on the reviewed object. Be-sides, user's credibility and semantic relationship between the reviewer and the reviewed object are also considered in the evaluation. Experiment results show that the algorithm is efficient and valid on both time performance and correctness.关键词
关系数据库/频繁子图挖掘/聚类/公共特征/可信度计算Key words
relational database/frequent subgraph mining/cluster/common character/reliability calculation分类
信息技术与安全科学引用本文复制引用
唐晓婷,吴爱华,曾卫明..不一致数据库中基于用户语义模板的评论可信度计算[J].燕山大学学报,2014,(6):523-531,543,10.基金项目
国家自然科学基金资助项目 （）
