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ATAL
2008
Springer
13 years 9 months ago
Using organization knowledge to improve routing performance in wireless multi-agent networks
Multi-agent systems benefit greatly from an organization design that guides agents in determining when to communicate, how often, with whom, with what priority, and so on. However...
Huzaifa Zafar, Victor R. Lesser, Daniel D. Corkill...
AAAI
2012
11 years 10 months ago
Transfer Learning in Collaborative Filtering with Uncertain Ratings
To solve the sparsity problem in collaborative filtering, researchers have introduced transfer learning as a viable approach to make use of auxiliary data. Most previous transfer...
Weike Pan, Evan Wei Xiang, Qiang Yang
AH
2008
Springer
14 years 2 months ago
Locally Adaptive Neighborhood Selection for Collaborative Filtering Recommendations
Abstract. User-to-user similarity is a fundamental component of Collaborative Filtering (CF) recommender systems. In user-to-user similarity the ratings assigned by two users to a ...
Linas Baltrunas, Francesco Ricci
ECOOP
2009
Springer
14 years 8 months ago
MAPO: Mining and Recommending API Usage Patterns
To improve software productivity, when constructing new software systems, programmers often reuse existing libraries or frameworks by invoking methods provided in their APIs. Those...
Hao Zhong, Tao Xie, Lu Zhang, Jian Pei, Hong Mei
ECWEB
2011
Springer
277views ECommerce» more  ECWEB 2011»
12 years 7 months ago
Trust-Based Selection of Partners
The community of multi-agent systems has been studying ways to improve the selection of partner agents for joint action. One of such approaches consists in estimating the trustwort...
Joana Urbano, Ana Paula Rocha, Eugénio C. O...