Регистрация | Вход в службу | FAQ      [?] 
Recent | Unread | Search | Authors | Tags | Export

lcoquelle library [33 articles]

Статьи, недавно добавленные в библиотеку lcoquelle library ordered by importance.
  • The Design of Gugubarra 2.0: A Tool for Building and Managing Profiles of Web Users
    Web Intelligence, 2006. WI 2006. IEEE/WIC/ACM International Conference on (2006), pp. 317-320.
    by N Hoebel, S Kaufmann, K Tolle, RV Zicari
    posted to profile-matching user-profile by lcoquelle on 2007-08-22 01:59:21 as ****
  • notes Distributed collaborative filtering for peer-to-peer file sharing systems
    (2006), pp. 1026-1030.
    by Jun Wang, Johan Pouwelse, Reginald L Lagendijk, Marcel JT Reinders
  • Incorporating contextual information in recommender systems using a multidimensional approach
    ACM Trans. Inf. Syst., Vol. 23, No. 1. (2005), pp. 103-145.
    by Gediminas Adomavicius, Ramesh Sankaranarayanan, Shahana Sen, Alexander Tuzhilin
  • Combining collaborative and contentbased filtering using conceptual graphs
    (2003)
  • DCFLA: A distributed collaborative-filtering neighbor-locating algorithm
    Information Sciences, Vol. 177, No. 6. (15 March 2007), pp. 1349-1363.
    by Bo Xie, Peng Han, Fan Yang, Rui-Min Shen, Hua-Jun Zeng, Zheng Chen
  • notes Dynamo: Amazon's Highly Available Key-Value Store
    (October 2007)
    by Giuseppe Decandia, Deniz Hastorun, Madan Jampani, Gunavardhan Kakulapati, Avinash Lakshman, Alex Pilchin, Swami Sivasubramanian, Peter Vosshall, Werner Vogels
    posted to distributed by lcoquelle on 2007-10-09 07:21:20 as ***
  • A Framework for Collaborative, Content-Based and Demographic Filtering
    Artificial Intelligence Review, Vol. 13, No. 5 - 6. (December 1999), pp. 393-408.
    by Michael J Pazzani
  • notes Social Networks and Social Information Filtering on Digg
    (7 Dec 2006)
    by Kristina Lerman
  • Evaluating collaborative filtering recommender systems
    ACM Trans. Inf. Syst., Vol. 22, No. 1. (January 2004), pp. 5-53.
    by Jonathan L Herlocker, Joseph A Konstan, Loren G Terveen, John T Riedl
  • Matrix Computations (Johns Hopkins Studies in Mathematical Sciences)
    (15 October 1996)
    by Gene H Golub, Charles F Van Loan
  • Reinforcement Learning by Value Gradients
    (25 Mar 2008)
    by Michael Fairbank
    posted to machine-learning by lcoquelle on 2008-03-27 01:27:08 as **
  • A Recommender System based on Idiotypic Artificial Immune Networks
    (20 Mar 2008)
    by Steve Cayzer, Uwe Aickelin
    posted to collaborative-filtering recommender by lcoquelle on 2008-03-27 01:25:56 as **
  • Collaborative Filtering Based on Transitive Correlations Between Items
    Advances in Information Retrieval (2007), pp. 368-380.
    by Alexandros Nanopoulos
  • Collaborative Filtering: Fallacies and Insights in Measuring Similarity
  • Push-Poll Recommender System: Supporting Word of Mouth
    User Modeling 2007 (2007), pp. 278-287.
    by Andrew Webster, Julita Vassileva
  • Stochastic Models for Budget Optimization in Search-Based Advertising
    (24 Sep 2007)
    by S Muthukrishnan, Martin Pal, Zoya Svitkina
    posted to advertisement-scheduling by lcoquelle on 2007-09-26 06:27:36 as **
  • Collaborative Filtering Recommender Systems
    The Adaptive Web (2007), pp. 291-324.
    by J Schafer, Dan Frankowski, Jon Herlocker, Shilad Sen
  • Scalable collaborative filtering using cluster-based smoothing
    (2005), pp. 114-121.
    by Gui-Rong Xue, Chenxi Lin, Qiang Yang, Wensi Xi, Hua-Jun Zeng, Yong Yu, Zheng Chen
  • Design Patterns for Simulations in Erlang/OTP
    by Ulf Ekström
  • notes A Generic Multipurpose recommender System for Contextual Recommendations
    (2007), pp. 445-450.
    by Christian Rack, Stefan Arbanowski, Stephan Steglich
    posted to distributed recommender by lcoquelle on 2007-09-04 05:48:04 as **
  • ClustKNN: A Highly Scalable Hybrid Model- & Memory-Based CF Algorithm.
    (20 August 2006)
    by Al M Rashid, Shyong, George Karypis, John Riedl
    posted to collaborative-filtering recommender by lcoquelle on 2007-08-29 02:51:47 as **
  • A collaborative filtering framework based on fuzzy association rules and multiple-level similarity
    Knowledge and Information Systems, Vol. 10, No. 3. (3 October 2006), pp. 357-381.
    by Cane Leung, Stephen Chan, Fu-Lai Chung
  • Recency-based collaborative filtering
    (2006), pp. 99-107.
    by Yi Ding, Xue Li, Maria E Orlowska
  • Efficient scheduling of Internet banner advertisements
    ACM Trans. Inter. Tech., Vol. 3, No. 4. (November 2003), pp. 334-346.
    by Ali Amiri, Syam Menon
    posted to advertisement-scheduling by lcoquelle on 2007-07-10 08:03:42 as **
  • Bid Optimization for Internet Graphical Ad Auction Systems via Special Ordered Sets
    ArXiv e-prints, Vol. 706 (June 2007)
    by R Wiggins, JA Tomlin
    posted to advertisement-scheduling by lcoquelle on 2007-07-10 07:57:23 as **
  • Social Information Filtering: Algorithms for Automating “Word of Mouth”
    Vol. 1 (1995), pp. 210-217.
    by Upendra Shardanand, Patti Maes
  • GroupLens: An Open Architecture for Collaborative Filtering of Netnews
    (1994), pp. 175-186.
  • Recommending and evaluating choices in a virtual community of use
    (1995), pp. 194-201.
    by Will Hill, Larry Stead, Mark Rosenstein, George Furnas
  • A Machine Learning Approach to Building Domain-Specific Search Engines
    (1999)
    by Andrew Mccallum, Kamal Nigam, Jason Rennie, Kristie Seymore
    posted to machine-learning search-engine by lcoquelle on 2007-07-10 01:56:33 as ** along with 1 person pdlug
  • Вы можете ссылаться на эту страницу по адресу: http://www.citeulike.org/user/lcoquelle/order/to_read

    RIS BibTeX
    CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.