Applying reinforcement learning for web pages ranking algorithms

V Derhami, E Khodadadian, M Ghasemzadeh… - Applied Soft …, 2013 - Elsevier
Ranking web pages for presenting the most relevant web pages to user's queries is one of
the main issues in any search engine. In this paper, two new ranking algorithms are offered …

Enhancing accuracy of topic sensitive PageRank using jaccard index and cosine similarity

M Rezvani, SM Hashemi - 2012 IEEE/WIC/ACM International …, 2012 - ieeexplore.ieee.org
The importance of online information retrieval systems has dramatically increased through
considerable growth in the size of the web, and the challenges beyond this topic have …

Application of ensemble models in web ranking

HB Hashemi, N Yazdani, A Shakery… - 2010 5th International …, 2010 - ieeexplore.ieee.org
One of the most important parts of search engines is the ranking unit. Many different
classical ranking algorithms based on content (such as TF-IDF and BM25) and connectivity …

A novel ranking algorithm based on Reinforcement Learning

E Khodadadian, M Ghasemzadeh… - The 16th CSI …, 2012 - ieeexplore.ieee.org
People are very interested in finding most related web pages when they are looking for
some information about a topic in the web. This is the responsibility of the search engine to …

[HTML][HTML] Learning to Rank for the Persian Web Using the Layered Genetic Programming

AH Keyhanipour - Journal of Information and Communication …, 2020 - jour.aicti.ir
Learning to rank (L2R) has emerged as a promising approach in handling the existing
challenges of Web search engines. However, there are major drawbacks with the present …

Proposing an improved content web page ranking algorithm

E Tavakol, M Abdeyazdan - Proceedings of the International …, 2017 - search.proquest.com
Most of the users of the information recovering tools as search engines use for finding their
needed information in web. These search engines are downloading hundreds million …