Web document clustering: a feasibility demonstration
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
ACM Computing Surveys (CSUR)
A spectral method to separate disconnected and nearly-disconnected web graph components
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
On the Spectrum and Structure of Internet Topology Graphs
IICS '02 Proceedings of the Second International Workshop on Innovative Internet Computing Systems
Document clustering based on non-negative matrix factorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Learning to cluster web search results
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Hierarchical Clustering Algorithms for Document Datasets
Data Mining and Knowledge Discovery
A divide-and-merge methodology for clustering
ACM Transactions on Database Systems (TODS)
Enhancing the Effectiveness of Clustering with Spectra Analysis
IEEE Transactions on Knowledge and Data Engineering
AdaRank: a boosting algorithm for information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Query result clustering for object-level search
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Inducing word senses to improve web search result clustering
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Topical clustering of search results
Proceedings of the fifth ACM international conference on Web search and data mining
The optimum clustering framework: implementing the cluster hypothesis
Information Retrieval
Exploiting DBpedia for web search results clustering
Proceedings of the 2013 workshop on Automated knowledge base construction
Hybrid entity clustering using crowds and data
The VLDB Journal — The International Journal on Very Large Data Bases
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How best to present query search results is an important problem in search engines and information retrieval systems. When a single query retrieves many results, simply showing them as a long list will provide users with poor overview. Nowadays, ranking and clustering query search results have been two useful separate post-processing techniques to organize retrieved documents. In this paper, we proposed a spectral analysis method based on the content similarity networks to integrate the clustering and ranking techniques for improving literature search. The new approach organizes all these search results into categories intelligently and simultaneously rank the results in each category. A variety of theoretical and empirical studies have demonstrated that the presented method performs well in real applications, especially in biomedical literature retrieval. Moreover, any free text information can be analyzed with the new method, i.e., the proposed approach can be applied to various information systems, such as Web search engines and literature search service.