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GroupLens Research

Known as: GroupLens 
GroupLens Research is a human–computer interaction research lab in the Department of Computer Science and Engineering at the University of Minnesota… 
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Related topics

Related topics

20 relations
ACM Software System AwardAlgorithmCollaborative filteringDigital library

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Normalization-based neighborhood model for cold start problem in recommendation system
Existing approaches for Recommendation Systems (RS) are mainly based on users’ past knowledge and the more popular techniques… 
2017
2017
Scalable hypergraph partitioning
The interest in graph partitioning has become quite huge due to growing problem sizes. Therefore more abstract solutions are… 
2016
2016
A novel algorithm for scalable k-nearest neighbour graph construction
Finding the k-nearest neighbours of every node in a dataset is one of the most important data operations with wide application in… 
2012
2012
INBI: An Improved Network-Based Inference Recommendation Algorithm
Personal recommendation based on bipartite network has gained sustained attention in recent years due to its performance… 
2010
2010
bumpy, caution with merging: an exploration of tagging in a geowiki
We introduced tags into the Cyclopath geographic wiki for bicyclists. To promote the creation of useful tags, we made tags wiki… 
2010
2010
A new clustering method for collaborative filtering
Collaborative filtering, which predicts unknown ratings by analyzing the known ratings, is regarded as one of the most successful… 
2009
2009
Edu-mining for Book Recommendation for Pupils
This paper proposes a novel method for recommending books to pupils based on a framework called Edu-mining. One of the properties… 
Review
2007
Review
2007
Introducing Context into Recommender Systems
In this paper, we give an overview of our work to investigate the integration of context into different kind of recommender… 
2004
2004
An Accurate and Scalable Collaborative Recommender
We present a collaborative recommender that uses a user-based model to predict user ratings for specified items. The model… 
2004
2004
Characteristics of large group support systems
In this paper, we present an evaluation of large group support systems and literature in three fields: group support systems (GSS… 
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