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COMAD
2009
13 years 11 months ago
Trust-Based Infinitesimals for Enhanced Collaborative Filtering
In this paper we propose a novel recommender system which enhances user-based collaborative filtering by using a trust-based social network. Our main idea is to use infinitesimal ...
Maria Chowdhury, Alex Thomo, William W. Wadge
IJMMS
2006
72views more  IJMMS 2006»
13 years 10 months ago
The use of interface agents for email notification in critical incidents
This study reports on several typical scenarios of the use of email notification interface agents under the influence of critical incidents. An interface agent is a reactive, coll...
Alexander Serenko
DATAMINE
2002
135views more  DATAMINE 2002»
13 years 10 months ago
Discovery and Evaluation of Aggregate Usage Profiles for Web Personalization
: Web usage mining, possibly used in conjunction with standard approaches to personalization such as collaborative filtering, can help address some of the shortcomings of these tec...
Bamshad Mobasher, Honghua Dai, Tao Luo, Miki Nakag...
CAINE
2009
13 years 8 months ago
Clustering Customer Transactions: A Rough Set Based Approach
An efficient customer behavior analysis is important for good Recommender System. Customer transaction clustering is usually the first step towards the analysis of customer behavi...
Arunava Saha, Darsana Das, Dipanjan Karmakar, Dili...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
12 years 17 days ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...