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    SIGIR
    2009
    ACM
    155views Information Technology» more  SIGIR 2009»
    On social networks and collaborative recommendation
    13 years 11 months ago
    On social networks and collaborative recommendation
    Download  luci.ics.uci.edu
    Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided an...
    Ioannis Konstas, Vassilios Stathopoulos, Joemon M....
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    ICDM
    2010
    IEEE
    267views Data Mining» more  ICDM 2010»
    Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model
    13 years 3 months ago
    Personalizing Web Page Recommendation via Collaborative Filtering and Topic-Aware Markov Model
    Download  dbgroup.cs.tsinghua.edu.cn
    Web-page recommendation is to predict the next request of pages that Web users are potentially interested in when surfing the Web. This technique can guide Web users to find more u...
    Qingyan Yang, Ju Fan, Jianyong Wang, Lizhu Zhou
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    LWA
    2007
    151views Software Engineering» more  LWA 2007»
    Know the Right People? Recommender Systems for Web 2.0
    13 years 6 months ago
    Know the Right People? Recommender Systems for Web 2.0
    Download  www.l3s.de
    Web 2.0 applications like Flickr, YouTube, or Del.icio.us are increasingly popular online communities for creating, editing and sharing content. However, the rapid increase in siz...
    Stefan Siersdorfer, Sergej Sizov, Paul Clough
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    AH
    2006
    Springer
    157views Internet Technology» more  AH 2006»
    eDAADe: An Adaptive Recommendation System for Comparison and Analysis of Architectural Precedents
    13 years 9 months ago
    eDAADe: An Adaptive Recommendation System for Comparison and Analysis of Architectural Precedents
    Download  gsct3237.kaist.ac.kr
    We built a Web-based adaptive recommendation system for students to select and suggest architectural cases when they analyze "Case Study" work within the architectural de...
    Shu-Feng Pan, Ji-Hyun Lee
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    ICML
    2007
    IEEE
    157views Machine Learning» more  ICML 2007»
    Learning a meta-level prior for feature relevance from multiple related tasks
    14 years 6 months ago
    Learning a meta-level prior for feature relevance from multiple related tasks
    Download  www.machinelearning.org
    In many prediction tasks, selecting relevant features is essential for achieving good generalization performance. Most feature selection algorithms consider all features to be a p...
    Su-In Lee, Vassil Chatalbashev, David Vickrey, Dap...
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