| Mark Sanderson, Kalervo Järvelin, James Allan, Peter Bruza (Eds.): SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Sheffield, UK, July 25-29, 2004. ACM 2004, ISBN 1-58113-881-4
Using ODP Metadata to Personalize Search - By Paul Alexandru Chirita, Wolfgang Nejdl, Raluca Paiu and Christian Kohlschütter, L3S and University of Hannover, Germany. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. The paper discusses how ODP metadata can be exploited to achieve high quality personalized web search.
SIGIR: Information Retrieval - "Addresses issues ranging from theory to user demands in the application of computers to the acquisition, organization, storage, retrieval, and distribution of information."
OCFS: Optimal Orthogonal Centroid Feature Selection for Text Categorization - By Jun Yan, Ning Liu, Benyu Zhang, Shuicheng Yan, Zheng Chen, Qiansheng Cheng, Weiguo Fan and Wei-Ying Ma. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. Experiments based on 20 Newsgroups (20NG), Reuters Corpus Volume 1 (RCV1) and ODP data show that OCFS is a consistently better feature selection method than Information Gain (IG) and c 2-test (CHI).
Improving Web Search Results Using Affinity Graph - By Benyu Zhang, Hua Li, Yi Liu, Lei Ji, Wensi Xi, Weiguo Fan, Zheng Chen and Wei-Ying Ma. In: Proceedings of the 28th Annual International ACM SIGIR Conference, August 2005. The authors propose a ranking scheme named Affinity Ranking (AR). Yahoo, ODP and newsgroup data are used for the experiments.
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