A SURVEY ON LEARNING TO RANK ALGORITHMS
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Abstract
Ranking web documents that are returned by search engines has been one of the active research areas. In fact, ranking is an essential part of information retrieval. Many ranking approaches such as Page Rank came into existence. Recently Learning to Rank (LTR) emerged as an important machine learning technique which is used for effective ranking. LTR exhibits computational intelligence for bringing about high quality web documents against given web query. LTR became an inevitable phenomenon for making a ranking model and presenting web documents. It is widely used by question-answer kind of applications, search engines and recommender systems. LTR methods are developed to deal with huge number of web documents
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