Learn from Web Search Logs to Organize Search Results
Proceedings of the 30 th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2007, (2007)Abstract
E ective organization of search results is critical for improving the utility of any search engine. Clustering search results is an e ective way to organize search results, which allows a user to navigate into relevant documents quickly. However, two deficiencies of this approach make it not always work well: (1) the clusters discovered do not necessarily correspond to the interesting aspects of a topic from the user's perspective; and (2) the cluster labels generated are not informative enough to allow a user to identify the right cluster. In this paper, we propose to address these two deciencies by (1) learning aspects" of a topic from Web search logs and organizing search results accordingly; and (2) generating more meaningful cluster labels using past query words entered by users. We evaluate our proposed method on a commercial search engine log data. Compared with the traditional methods of clustering search results, our method can give better result organization and more meaningful labels.
Links and resources
Tags
community
@lysander07's tags highlighted