使用结果多样化改进个性化网络搜索

Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval Pub Date : 2006-08-06 DOI:10.1145/1148170.1148320

Filip Radlinski, S. Dumais

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引用次数: 283

摘要

我们提出并评估了多样化搜索结果的方法，以改善个性化的网络搜索。一种常见的个性化方法涉及对前N个搜索结果进行重新排序，以便用户可能更喜欢的文档显示在更前面。重新排序的有用性部分受到所考虑结果的数量和多样性的限制。我们提出了三种方法来增加顶部结果的多样性，并评估了这些方法的有效性。

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Improving personalized web search using result diversification

We present and evaluate methods for diversifying search results to improve personalized web search. A common personalization approach involves reranking the top N search results such that documents likely to be preferred by the user are presented higher. The usefulness of reranking is limited in part by the number and diversity of results considered. We propose three methods to increase the diversity of the top results and evaluate the effectiveness of these methods.

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Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval

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