TY - CONF AU - Wu, Harris AU - Zubair, Mohammad AU - Maly, Kurt A2 - Wiil, Uffe Kock A2 - Nürnberg, Peter J. A2 - Rubart, Jessica T1 - Harvesting social knowledge from folksonomies. T2 - Hypertext PB - ACM CY - PY - 2006/ M2 - VL - IS - SP - 111 EP - 114 UR - http://dblp.uni-trier.de/db/conf/ht/ht2006.html#WuZM06 M3 - KW - directed KW - graph KW - hits KW - ranking KW - toread L1 - SN - 1-59593-417-0 N1 - N1 - AB - ER - TY - GEN AU - Langville, Amy N. AU - Meyer, Carl D. A2 - T1 - A Survey of Eigenvector Methods of Web Information Retrieval JO - The SIAM Review PB - AD - PY - 2005/ VL - 47 IS - 1 SP - 135 EP - 161 UR - http://www.cofc.edu/~langvillea/surveyEVwebIRReprint.pdf M3 - KW - web KW - svd KW - pagerank KW - ir KW - eigenvector KW - salsa KW - lsi KW - **** KW - hits L1 - N1 - Amy N. Langville's homepage N1 - AB - Web information retrieval is significantly more challenging than traditional well-controlled,

small document collection information retrieval. One main difference between traditional

information retrieval and Web information retrieval is the Web’s hyperlink structure. This

structure has been exploited by several of today’s leading Web search engines, particularly

Google and Teoma. In this survey paper, we focus on Web information retrieval methods

that use eigenvector computations, presenting the three popular methods of HITS,

PageRank, and SALSA. ER - TY - CONF AU - Almeida, Rodrigo B. AU - Almeida, Virgilio A. F. A2 - T1 - A community-aware search engine T2 - Proceedings of the 13th international conference on World Wide Web PB - ACM Press CY - New York, NY, USA PY - 2004/ M2 - VL - IS - SP - 413 EP - 421 UR - http://doi.acm.org/10.1145/988672.988728 M3 - KW - search KW - engine KW - detection KW - hits KW - community KW - network L1 - SN - 1-58113-844-X N1 - N1 - AB -

Current search technologies work in a "one size fits all" fashion. Therefore, the answer to a query is independent of specific user information need. In this paper we describe a novel ranking technique for personalized search servicesthat combines content-based and community-based evidences. The community-based information is used in order to provide context for queries andis influenced by the current interaction of the user with the service. Ouralgorithm is evaluated using data derived from an actual service available on the Web an online bookstore. We show that the quality of content-based ranking strategies can be improved by the use of communityinformation as another evidential source of relevance. In our experiments the improvements reach up to 48% in terms of average precision. ER - TY - GEN AU - Almeida, R.B. AU - Almeida, V.A.F. A2 - T1 - Design and evaluation of a user-based community discovery technique JO - PB - AD - PY - 2003/ VL - IS - SP - 17 EP - 23 UR - citeseer.ist.psu.edu/almeida03design.html M3 - KW - detection KW - hits KW - community KW - network L1 - N1 - N1 - AB - ER - TY - CONF AU - Borodin, Allan AU - Roberts, Gareth O. AU - Rosenthal, Jeffrey S. AU - Tsaparas, Panayiotis A2 - T1 - Finding authorities and hubs from link structures on the World Wide Web T2 - Proceedings of the 10th international conference on World Wide Web PB - ACM Press CY - New York, NY, USA PY - 2001/ M2 - VL - IS - SP - 415 EP - 429 UR - http://doi.acm.org/10.1145/371920.372096 M3 - KW - detection KW - hits KW - community KW - network L1 - SN - N1 - N1 - AB - ER - TY - JOUR AU - Kleinberg, Jon M. T1 - Authoritative sources in a hyperlinked environment JO - J. ACM PY - 1999/10 VL - 46 IS - SP - 604 EP - 632 UR - http://doi.acm.org/10.1145/324133.324140 M3 - 10.1145/324133.324140 KW - authorities KW - hits KW - hubs KW - kleinberg KW - sna L1 - SN - N1 - Authoritative sources in a hyperlinked environment N1 - AB - The network structure of a hyperlinked environment can be a rich source of information about the content of the environment, provided we have effective means for understanding it. We develop a set of algorithmic tools for extracting information from the link structures of such environments, and report on experiments that demonstrate their effectiveness in a variety of context on the World Wide Web. The central issue we address within our framework is the distillation of broad search topics, through the discovery of “authorative” information sources on such topics. We propose and test an algorithmic formulation of the notion of authority, based on the relationship between a set of relevant authoritative pages and the set of “hub pages” that join them together in the link structure. Our formulation has connections to the eigenvectors of certain matrices associated with the link graph; these connections in turn motivate additional heuristrics for link-based analysis. ER - TY - JOUR AU - Kleinberg, Jon M. T1 - Authoritative sources in a hyperlinked environment JO - Journal of the ACM PY - 1999/ VL - 46 IS - 5 SP - 604 EP - 632 UR - http://citeseer.ist.psu.edu/kleinberg99authoritative.html M3 - KW - hits KW - ranking KW - search KW - sosbuch L1 - SN - N1 - HITS algorithm N1 - AB - . The network structure of a hyperlinked environment can be a rich source of information about the content of the environment, provided we have effective means for understanding it. We develop a set of algorithmic tools for extracting information from the link structures of such environments, and report on experiments that demonstrate their effectiveness in a variety of contexts on the World Wide Web. The central issue we address within our framework is the distillation of broad search topics,... ER -