Sciweavers

347 search results - page 38 / 70
» Collaborative Smart Items
Sort
View
107
Voted
SIGIR
2005
ACM
15 years 6 months ago
Scalable collaborative filtering using cluster-based smoothing
Memory-based approaches for collaborative filtering identify the similarity between two users by comparing their ratings on a set of items. In the past, the memory-based approache...
Gui-Rong Xue, Chenxi Lin, Qiang Yang, Wensi Xi, Hu...
94
Voted
CSCW
2000
ACM
15 years 5 months ago
Explaining collaborative filtering recommendations
Automated collaborative filtering (ACF) systems predict a person’s affinity for items or information by connecting that person’s recorded interests with the recorded interests...
Jonathan L. Herlocker, Joseph A. Konstan, John Rie...
AAAI
2007
15 years 2 months ago
Unsupervised Shilling Detection for Collaborative Filtering
Collaborative Filtering systems are essentially social systems which base their recommendation on the judgment of a large number of people. However, like other social systems, the...
Bhaskar Mehta
99
Voted
SIGCSE
2009
ACM
139views Education» more  SIGCSE 2009»
16 years 1 months ago
On preparing students for distributed software development with a synchronous, collaborative development platform
Working remotely is becoming the norm for both professionals and students alike. Software development has become a global industry due to outsourcing, teleworking, flex time, and ...
Andrew Meneely, Laurie Williams
KDD
2009
ACM
298views Data Mining» more  KDD 2009»
15 years 7 months ago
Mind the gaps: weighting the unknown in large-scale one-class collaborative filtering
One-Class Collaborative Filtering (OCCF) is a task that naturally emerges in recommender system settings. Typical characteristics include: Only positive examples can be observed, ...
Rong Pan, Martin Scholz