Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 236,791,992 papers from all fields of science
Search
Sign In
Create Free Account
Collaborative filtering
Known as:
Cf
, Collaborative Filter
, Shilling attacks
Collaborative filtering (CF) is a technique used by recommender systems. Collaborative filtering has two senses, a narrow one and a more general one…
Expand
Wikipedia
(opens in a new tab)
Create Alert
Alert
Related topics
Related topics
49 relations
Apache Mahout
Apache Spark
Business logic
California Report Card
Expand
Broader (2)
Collaborative software
Collective intelligence
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Application of Pca for Context Selection for Collaborative Filtering
A. Kumaravel
,
Pallab Dutta
2014
Corpus ID: 61329536
2 Abstract: With the unprecedented expansion of the Internet, data overloading has become an increasing problem for retrieving…
Expand
Review
2012
Review
2012
Survey Paper on Recommendation System
M. Kohar
,
Chhavi Rana
2012
Corpus ID: 18365907
-Today there is a big variety of different approaches and algorithms of data filtering and recommendation . In this paper we…
Expand
2010
2010
Improving Prediction Accuracy in Trust-Aware Recommender Systems
Sanjog Ray
,
A. Mahanti
Hawaii International Conference on System…
2010
Corpus ID: 28540195
Trust-aware recommender systems are intelligent technology applications that make use of trust information and user personal data…
Expand
2010
2010
Best Usage Context Prediction for Music Tracks
L. Baltrunas
,
Marius Kaminskas
,
F. Ricci
,
L. Rokach
,
Bracha Shapira
,
Karl-Heinz Lüke
2010
Corpus ID: 7857733
Recommender Systems (RSs) are software tools and techniques providing suggestions for items to be of use to a user. Often, better…
Expand
2009
2009
How does high dimensionality affect collaborative filtering?
A. Nanopoulos
,
Miloš Radovanović
,
M. Ivanović
ACM Conference on Recommender Systems
2009
Corpus ID: 2567909
A crucial operation in memory-based collaborative filtering (CF) is determining nearest neighbors (NNs) of users/items. This…
Expand
2008
2008
Adaptive collaborative filtering
Markus Weimer
,
Alexandros Karatzoglou
,
Alex Smola
ACM Conference on Recommender Systems
2008
Corpus ID: 1951003
We present a flexible approach to collaborative filtering which stems from basic research results. The approach is flexible in…
Expand
2005
2005
Employing a domain ontology to gain insights into user behaviour
Patricia Kearney
,
S. Anand
,
M. Shapcott
2005
Corpus ID: 16674110
As the Web becomes the de facto window shopping experience for the on-line customer so web personalization is becoming an…
Expand
Review
2005
Review
2005
Learning to learn and collaborative filtering
Kai Yu
,
Volker Tresp
Neural Information Processing Systems
2005
Corpus ID: 2323885
This paper reviews several recent multi-task learning algorithms in a general framework. Interestingly, the framework establishes…
Expand
Review
1999
Review
1999
Bandwidth Utilization / Fidelity Tradeoffs in Predictive Filtering 1
B. Zeigler
,
G. Ball
,
H. Cho
,
J. S. Lee
,
H. Sarjoughian
1999
Corpus ID: 17434002
In confirmation of earlier developed theory, this paper presents some very promising empirical results obtained for tradeoff…
Expand
1997
1997
Generalized sampling without bandlimiting constraints
M. Unser
,
J. Zerubia
IEEE International Conference on Acoustics…
1997
Corpus ID: 19395241
We investigate the problem of the reconstruction of a continuous-time function f(x)/spl isin//spl Hscr/ from the responses of m…
Expand