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» Analysis of recommendation algorithms for e-commerce
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ICDE
2007
IEEE
110views Database» more  ICDE 2007»
14 years 1 months ago
Embedding Emotional Context in Recommender Systems
Emotional context is becoming a promising paradigm to develop more intuitive and sensitive recommender systems. Ambient Recommender Systems, arise from the analysis of new trends ...
Gustavo González, Josep Lluís de la ...
ICPADS
2007
IEEE
14 years 1 months ago
A scheduling algorithm for revenue maximisation for cluster-based Internet services
This paper proposes a new priority scheduling algorithm to maximise site revenue of session-based multi-tier Internet services in a multicluster environment. This research is part...
James Wen Jun Xue, Ligang He, Stephen A. Jarvis
CIA
2004
Springer
14 years 25 days ago
Qualitative Analysis of User-Based and Item-Based Prediction Algorithms for Recommendation Agents
Recommendation agents employ prediction algorithms to provide users with items that match their interests. In this paper, several prediction algorithms are described and evaluated...
Manos Papagelis, Dimitris Plexousakis
KBS
2006
127views more  KBS 2006»
13 years 7 months ago
Collaborative Recommending using Formal Concept Analysis
We show how Formal Concept Analysis (FCA) can be applied to Collaborative Recommenders. FCA is a mathematical method for analysing binary relations. Here we apply it to the relati...
Patrick du Boucher-Ryan, Derek G. Bridge
SIGECOM
2000
ACM
155views ECommerce» more  SIGECOM 2000»
13 years 11 months ago
Analysis of recommendation algorithms for e-commerce
Badrul M. Sarwar, George Karypis, Joseph A. Konsta...