Search Results Clustering Algorithm Based on Named Entities
Guiquan Liu · Jisuanji gongcheng · 2009
A new way of clustering the search results based on named entities——NEC is introduced.This paper proposes an algorithm which improves the readability of the cluster labels.Named entities all have certain meanings with themselves, can indicate themes of the documents which they are in, and more readable for the users.It uses the named entities in the documents as cluster labels, and gets the final result after label-selecting and cluster-merging strategies.Experiments show that it is a feasible way for search results clustering.