Ranking models in Information Retrieval: A Survey

Information search and retrieval is one of the most prime fields of importance in today's computing world. Information retrieval is the process of obtaining information relevant to the users need, from a huge collection of documents. Ranking the documents collection is traditionally based on Topic Similarity. To improve the effectiveness of the retrieval, time can be incorporated into the ranking models. In this paper, we will carry out a survey of Traditional Ranking Models and how time can be incorporated in those ranking models.

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