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» Recommender Systems for Product Bundling
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KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 9 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
SAC
2005
ACM
14 years 2 months ago
SVD-based collaborative filtering with privacy
Collaborative filtering (CF) techniques are becoming increasingly popular with the evolution of the Internet. Such techniques recommend products to customers using similar users...
Huseyin Polat, Wenliang Du
TKDE
2010
186views more  TKDE 2010»
13 years 7 months ago
A Unified Framework for Providing Recommendations in Social Tagging Systems Based on Ternary Semantic Analysis
—Social Tagging is the process by which many users add metadata in the form of keywords, to annotate and categorize items (songs, pictures, web links, products, etc.). Social tag...
Panagiotis Symeonidis, Alexandros Nanopoulos, Yann...
ICRA
2005
IEEE
125views Robotics» more  ICRA 2005»
14 years 2 months ago
Bullwhip effect in Integrated Manufacturing and Service Networks
- An Integrated Manufacturing and Service Network (IMSN) is a grouping of companies, working together to offer a bundle of products and product-related services, that deliver value...
Nukala Viswanadham, Vijay Desai, Roshan S. Gaonkar
SIGSOFT
2009
ACM
14 years 9 months ago
DebugAdvisor: a recommender system for debugging
In large software development projects, when a programmer is assigned a bug to fix, she typically spends a lot of time searching (in an ad-hoc manner) for instances from the past ...
B. Ashok, Joseph M. Joy, Hongkang Liang, Sriram K....