Web Personalization-Improving Web Search Ranking based on User Profiling-
نویسندگان
چکیده
منابع مشابه
Rough set based User profiling for Web Personalization
Web usage mining has recently emerged as a basis for extracting useful user access pattern information, such as user profiles, from enormous amounts of Web log data for web site personalization. A profile can consist of a set of URLs that are relevant to the sessions assigned to a given cluster. Once these profiles are discovered, they can be exploited as part of an automated personalization on...
متن کاملRRLUFF: Ranking function based on Reinforcement Learning using User Feedback and Web Document Features
Principal aim of a search engine is to provide the sorted results according to user’s requirements. To achieve this aim, it employs ranking methods to rank the web documents based on their significance and relevance to user query. The novelty of this paper is to provide user feedback-based ranking algorithm using reinforcement learning. The proposed algorithm is called RRLUFF, in which the rank...
متن کاملWeb pages ranking algorithm based on reinforcement learning and user feedback
The main challenge of a search engine is ranking web documents to provide the best response to a user`s query. Despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ranks is of great importance. In this paper, a ranking algorithm based on the reinforcement le...
متن کاملCollaborative Ranking Function Training for Web Search Personalization
In this paper, we present a framework for improving the ranking function training and the re-ranking process for web search personalization. Our method is based on utilizing clickthrough data from several users in order to create multiple ranking functions that correspond to different topic areas. Those ranking functions are combined each time a user poses a new query in order to produce a new ...
متن کاملContext-Based Personalization for Mobile Web Search
User experience while searching for web pages on the move can be far from satisfactory due to the inherent limitations of the input modes available in mobile devices. On the other hand, end-users can benefit from the availability of contextaware information anywhere, anytime. To overcome the usability problem and exploit context information at the same time, we propose a thesaurus-based semanti...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Joho Chishiki Gakkaishi
سال: 2006
ISSN: 0917-1436
DOI: 10.2964/jsik.16.4_33