期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：4
页码：3438-3442
出版社：TechScience Publications
摘要：In the era of Internet where millions of people browsing over millions of websites; searching for web databases such as Product database, Locomotive database etc. have become a routine task. Ranking and returning the most relevant result of a query based on the type of user is important in this aspect. Previous approaches have used values of database frequencies, user profiles and queries. Thus the ranking was done in a user- and /or queryindependent manner. A new approach known as User and Query Dependent Ranking for giving ranking to query results can be useful in this context. This ranking framework is based on two fundamental aspects to the problem of ranking query results. They are query similarity and user similarity. These similarities are exploited to make efficient ranking of query results.
关键词：Automated ranking; Recommendation;Systems; User similarity; Query similarity; Ranking query;results; Data Mining
