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WEBDB
2009
Springer
159views Database» more  WEBDB 2009»
15 years 6 months ago
Beyond the Stars: Improving Rating Predictions using Review Text Content
Online reviews are an important asset for users deciding to buy a product, see a movie, or go to a restaurant, as well as for businesses tracking user feedback. However, most revi...
Gayatree Ganu, Noemie Elhadad, Amélie Maria...
CIKM
2001
Springer
15 years 4 months ago
Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering
Collaborative filtering uses a database about consumers’ preferences to make personal product recommendations and is achieving widespread success in both E-Commerce and Informat...
Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Krieg...
ICDE
2012
IEEE
257views Database» more  ICDE 2012»
13 years 2 months ago
LARS: A Location-Aware Recommender System
Abstract—This paper proposes LARS, a location-aware recommender system that uses location-based ratings to produce recommendations. Traditional recommender systems do not conside...
Justin J. Levandoski, Mohamed Sarwat, Ahmed Eldawy...
CIKM
2008
Springer
15 years 1 months ago
Tag-based filtering for personalized bookmark recommendations
This paper investigates using social tags for the purpose of making personalized content recommendations. Our tag-based recommender creates a personalized bookmark recommendation ...
Pavan Kumar Vatturi, Werner Geyer, Casey Dugan, Mi...
CHI
2006
ACM
16 years 4 days ago
Accounting for taste: using profile similarity to improve recommender systems
Recommender systems have been developed to address the abundance of choice we face in taste domains (films, music, restaurants) when shopping or going out. However, consumers curr...
Philip Bonhard, Clare Harries, John D. McCarthy, M...