G.4. Information Storage and Retrieval
RRLUFF: Ranking function based on Reinforcement Learning using User Feedback and Web Document Features

V. Derhami; J. Paksima; H. Khajeh

Volume 7, Issue 3 , July 2019, , Pages 421-442

http://dx.doi.org/10.22044/jadm.2019.3547.1814

Abstract
  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 ...  Read More