Clustering search results helps the user to overview returned results and to focus on the desired clusters. Most of search result clustering methods use title, URL and snippets returned by a search engine as the source of information for creating the clusters. In this paper we propose a new method for search results clustering (SRC) which uses social annotations as the main source of information about web pages. Social annotations are high-level descriptions for web pages and as the experiments show, clustering based on social annotations yields good clusters with informative labels. © 2008 Springer-Verlag.
CITATION STYLE
Aliakbary, S., Khayyamian, M., & Abolhassani, H. (2008). Using social annotations for search results clustering. In Communications in Computer and Information Science (Vol. 6 CCIS, pp. 976–980). https://doi.org/10.1007/978-3-540-89985-3_147
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