A Case Study of User Behavior in Information Retrieval
Information retrieval has taken an important turn when the researchers started using user behavior to improve their ranking algorithms. With the advent of user behavior in information retrieval, the interactive information retrieval is beginning to make its mark. In this paper, we discuss how user behavior is being used in information retrieval. We survey various strategies used for incorporating user behavior into information retrieval. The key fact is that taking absolute feedback about whether the retrieved documents are relevant or not is very difficult, and if we can take the implicit feedback from the user in the form of user behavior, we can arrive at a better learning function for the algorithm. We, in this paper, would like to provide a case study of various approaches in using user behavior for information retrieval.
KeywordsUser behavior Information retrieval Click-through data Search Relevance Precision Learning SVM Rank Score
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