Diversifying Information Needs in Results of Question Retrieval
نویسندگان
چکیده
Information need is an important factor in question retrieval. This paper proposes a method to diversify the results of question retrieval in term of types of information needs. CogQTaxo, a question hierarchy is leveraged to represent users’ information needs cognitively from three linguistic levels. Based on a prediction model of question types, three factors, i.e., scores of IR model, question type similarity and question type novelty are linearly combined to re-rank the retrieved questions. Preliminary experimental results show that the proposed method enhances the question retrieval performance in information coverage and diversity.
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