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WECWIS
2009
IEEE
159views ECommerce» more  WECWIS 2009»
14 years 2 months ago
Context-Aware Recommendation by Aggregating User Context
— Traditional recommendation approaches do not consider the changes of user preferences according to context. As a result, these approaches consider the user’s overall preferen...
Dongmin Shin, Jae-won Lee, Jongheum Yeon, Sang-goo...
RECSYS
2009
ACM
14 years 2 months ago
Applying relevant set correlation clustering to multi-criteria recommender systems
This thesis investigates application of clustering to multi-criteria ratings as a method of improving the precision of top-N recommendations. With the advent of ecommerce sites th...
Nkechi Nnadi
KES
2005
Springer
14 years 1 months ago
Using Recommendation to Improve Negotiations in Agent-Based Systems
: In this paper we present research works on non-intuitive and low-efficient negotiations between agents in agent based system. We find recommendation techniques as a suitable meth...
Mateusz Lenar, Janusz Sobecki
DL
1999
Springer
111views Digital Library» more  DL 1999»
13 years 12 months ago
TalkMine and the Adaptive Recommendation Project
TalkMine is an adaptive recommendation system which is both content-based and collaborative, and further allows the crossover of information among multiple databases searched by u...
Luis Mateus Rocha
JNCA
2007
126views more  JNCA 2007»
13 years 7 months ago
Usage derived recommendations for a video digital library
We describe a minimalist methodology to develop usage-based recommender systems for multimedia digital libraries. A prototype recommender system based on this strategy was impleme...
Johan Bollen, Michael L. Nelson, Gary Geisler, Raq...