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» Collaborative Filtering Using Associative Neural Memory
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ICML
2003
IEEE
14 years 8 months ago
Online Ranking/Collaborative Filtering Using the Perceptron Algorithm
In this paper we present a simple to implement truly online large margin version of the Perceptron ranking (PRank) algorithm, called the OAP-BPM (Online Aggregate Prank-Bayes Poin...
Edward F. Harrington
KDD
2004
ACM
150views Data Mining» more  KDD 2004»
14 years 7 months ago
Complete This Puzzle: A Connectionist Approach to Accurate Web Recommendations Based on a Committee of Predictors
Abstract. We present a Context Ultra-Sensitive Approach based on two-step Recommender systems (CUSA-2step-Rec). Our approach relies on a committee of profile-specific neural networ...
Olfa Nasraoui, Mrudula Pavuluri
WETICE
2005
IEEE
14 years 29 days ago
CAFE - Collaborative Agents for Filtering E-mails
CAFE (Collaborative Agents for Filtering E-mails) is a multi-agent system to collaboratively filter spam from users’ mail stream. CAFE associates a proxy agent with each user, a...
Lorenzo Lazzari, Marco Mari, Agostino Poggi
MVA
1992
143views Computer Vision» more  MVA 1992»
13 years 8 months ago
A Real-Time Vision System Using Integrated Memory Array Processor Prototype LSI
This study reports on the performance of a Real-Time Vision System (RVS) and its use of an IMAP prototype LSI. This LSI integrates eight 8 bit processors and a 144 Kbit SRAM on a ...
Yoshihiro Fujita, Nobuyuki Yamashita, Shin'ichiro ...
EWCBR
2000
Springer
13 years 11 months ago
A Case-Based Reasoning Approach to Collaborative Filtering
Collaborative filtering systems make recommendations based on the accumulation of ratings by many users. The process has a case-based reasoning flavor: recommendations are generate...
Robin D. Burke