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A search result clustering method using informatively named entities
Proceedings of the seventh ACM international workshop on Web information and data management - WIDM '05
Clustering the results of a search helps the user to overview the information returned. In this paper, we regard the clustering task as indexing the search results. Here, an index means a structured label list that can makes it easier for the user to comprehend the labels and search results. To realize this goal, we make three proposals. First is to use Named Entity Extraction for term extraction. Second is a new label selecting criterion based on importance in the search result and thedoi:10.1145/1097047.1097063 dblp:conf/widm/TodaK05 fatcat:7tmibgnfgnezvatev7uz7hromi