Recommender system

Known as: Recommendation search engines, IPTV Recommendations, TV Recommender system 
Recommender systems or recommendation systems (sometimes replacing "system" with a synonym such as platform or engine) are a subclass of information… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

1937-2018
01000200019372017

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Although <i>Recommender Systems</i> have been comprehensively analyzed in the past decade, the study of social-based recommender… (More)
  • figure 1
  • table 1
  • table 4
  • table 5
  • figure 2
Is this relevant?
Highly Cited
2011
Highly Cited
2011
Researchers have access to large online archives of scientific articles. As a consequence, finding relevant papers has become… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 6
Is this relevant?
Highly Cited
2010
Highly Cited
2010
Which digital camera should I buy? What is the best holiday for me and my family? Which is the best investment for supporting the… (More)
Is this relevant?
Highly Cited
2009
Highly Cited
2009
As the Netflix Prize competition has demonstrated, matrix factorization models are superior to classic nearest neighbor… (More)
  • figure 2
Is this relevant?
Highly Cited
2008
Highly Cited
2008
The importance of contextual information has been recognized by researchers and practitioners in many disciplines, including e… (More)
  • figure 7.1
  • figure 7.2
  • figure 7.3
  • figure 7.4
  • figure 7.5
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Recommender Systems based on Collaborative Filtering suggest to users items they might like. However due to data sparsity of the… (More)
Is this relevant?
Highly Cited
2007
Highly Cited
2007
One of the potent personalization technologies powering the adaptive web is collaborative filtering. Collaborative filtering (CF… (More)
  • figure 1
  • table 1
  • figure 2
  • table 2
  • figure 3
Is this relevant?
Highly Cited
2005
Highly Cited
2005
The article presents a multidimensional (MD) approach to recommender systems that can provide recommendations based on additional… (More)
  • figure 1
  • figure 2
  • table I
  • table II
  • table III
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Recommender systems have proven to be an important response to the information overload problem, by providing users with more… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2000
Highly Cited
2000
We investigate the use of dimensionality reduction to improve performance for a new class of data analysis software called… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?