Adaptive Web Search based on User Web Log
نویسندگان
چکیده
منابع مشابه
A Web-based User Adaptive Learning Environment
We present a design structure for constructing web based user adaptive learning environments. Currently the web offers huge amounts of unstructured information but no facilities for exploiting this in a problem solving situation. Our aim is to gather and present information from the web, based on specific user needs and in accordance with pedagogical theory concerning learning situations. The p...
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 کاملTaxonomy-based Adaptive Web Search Method
Current crawler-based search engines usually return a long list of search results containing a lot of noise documents. By indexing collected documents on topic path in taxonomy, taxonomy-based search engines can improve the search result qualities. However, the searches are limited to the locally compiled databases. In this paper, we propose an adaptive web search method to improve the search r...
متن کاملCollaborative Web Search Based on User Interest Similarity
The motivation behind personal information agents resides in the enormous amount of information available on the Web, which has created a pressing need for effective personalized techniques. In order to assists Web search these agents rely on user profiles modeling information preferences, interests and habits that help to contextualize user queries. In communities of people with similar intere...
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: Journal of the Korea Academia-Industrial cooperation Society
سال: 2014
ISSN: 1975-4701
DOI: 10.5762/kais.2014.15.11.6856