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» Introduction to recommender systems
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CACM
2000
186views more  CACM 2000»
14 years 10 months ago
Automatic personalization based on Web usage mining
One important class of Data Mining applications is the so-called "Web Mining" that analyzes and extracts important and non-trivial knowledge from Web related data. Typic...
Bamshad Mobasher, Robert Cooley, Jaideep Srivastav...
NSDI
2008
15 years 1 months ago
Using Salience Differentials to Making Visual Cues Noticeable
There is a large body of research on how to design user interfaces for systems so as to ensure that important messages from the systems are presented to the user to maximize the p...
Andreas P. Heiner, N. Asokan
WINE
2010
Springer
124views Economy» more  WINE 2010»
14 years 8 months ago
A Novel Approach to Propagating Distrust
Trust propagation is a fundamental topic of study in the theory and practice of ranking and recommendation systems on networks. The Page Rank [9] algorithm ranks web pages by propa...
Christian Borgs, Jennifer T. Chayes, Adam Tauman K...
RECSYS
2010
ACM
14 years 11 months ago
Collaborative filtering via euclidean embedding
Recommendation systems suggest items based on user preferences. Collaborative filtering is a popular approach in which recommending is based on the rating history of the system. O...
Mohammad Khoshneshin, W. Nick Street
HICSS
2002
IEEE
142views Biometrics» more  HICSS 2002»
15 years 4 months ago
Multi-perspective Enterprise Modeling (MEMO) - Conceptual Framework and Modeling Languages
For many companies, the strategic as well as the organizational fit of their information systems is a pivotal factor for staying competitive. At the same time, there is an increas...
Ulrich Frank