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    SIGIR
    1999
    ACM
    196views Information Technology» more  SIGIR 1999»
    An Algorithmic Framework for Performing Collaborative Filtering
    13 years 9 months ago
    An Algorithmic Framework for Performing Collaborative Filtering
    Download  www.grouplens.org
    Jonathan L. Herlocker, Joseph A. Konstan, Al Borch...
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    KDD
    2005
    ACM
    163views Data Mining» more  KDD 2005»
    Data Sparsity Issues in the Collaborative Filtering Framework
    14 years 5 months ago
    Data Sparsity Issues in the Collaborative Filtering Framework
    Download  ropot.ijs.si
    Abstract. With the amount of available information on the Web growing rapidly with each day, the need to automatically filter the information in order to ensure greater user effici...
    Miha Grcar, Dunja Mladenic, Blaz Fortuna, Marko Gr...
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    SIGIR
    2000
    ACM
    156views Information Technology» more  SIGIR 2000»
    SWAMI: a framework for collaborative filtering algorithm development and evaluation
    13 years 9 months ago
    SWAMI: a framework for collaborative filtering algorithm development and evaluation
    Download  www.cs.cmu.edu
    We present a Java-based framework, SWAMI (Shared Wisdom through the Amalgamation of Many Interpretations) for building and studying collaborative filtering systems. SWAMI consist...
    Danyel Fisher, Kris Hildrum, Jason I. Hong, Mark W...
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    IR
    2002
    180views Natural Language Processing» more  IR 2002»
    An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
    13 years 4 months ago
    An Empirical Analysis of Design Choices in Neighborhood-Based Collaborative Filtering Algorithms
    Download  www.tribler.org
    Collaborative filtering systems predict a user's interest in new items based on the recommendations of other people with similar interests. Instead of performing content index...
    Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
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    CIKM
    2004
    Springer
    112views Information Technology» more  CIKM 2004»
    Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model
    13 years 10 months ago
    Unified filtering by combining collaborative filtering and content-based filtering via mixture model and exponential model
    Download  www.cs.cmu.edu
    Collaborative filtering and content-based filtering are two types of information filtering techniques. Combining these two techniques can improve the recommendation effectiveness....
    Luo Si, Rong Jin
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