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GFKL
2007
Springer
196views Data Mining» more  GFKL 2007»
15 years 12 months ago
Comparison of Recommender System Algorithms Focusing on the New-item and User-bias Problem
Recommender systems are used by an increasing number of e-commerce websites to help the customers to find suitable products from a large database. One of the most popular techniqu...
Stefan Hauger, Karen H. L. Tso, Lars Schmidt-Thiem...
148
Voted
GFKL
2007
Springer
148views Data Mining» more  GFKL 2007»
15 years 12 months ago
Information Integration of Partially Labeled Data
Abstract. A central task when integrating data from different sources is to detect identical items. For example, price comparison websites have to identify offers for identical p...
Steffen Rendle, Lars Schmidt-Thieme
163
Voted
GFKL
2007
Springer
180views Data Mining» more  GFKL 2007»
15 years 12 months ago
Content-based Dimensionality Reduction for Recommender Systems
Recommender Systems are gaining widespread acceptance in e-commerce applications to confront the information overload problem. Collaborative Filtering (CF) is a successful recommen...
Panagiotis Symeonidis
MIDDLEWARE
2007
Springer
15 years 12 months ago
Removing the need for state dissemination in grid resource brokering
Resource brokering in Grids is nowadays handled by resource brokers that require detailed knowledge of the state of the resources that they broker. In business settings, surrender...
Peer Hasselmeyer
UM
2007
Springer
15 years 12 months ago
Feature-Weighted User Model for Recommender Systems
Recommender systems are gaining widespread acceptance in e-commerce applications to confront the “information overload” problem. Collaborative Filtering (CF) is a successful re...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...