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» Implicit User Modelling Using Hybrid Meta-Heuristics
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CDC
2010
IEEE
123views Control Systems» more  CDC 2010»
13 years 2 months ago
Implicit learning for explicit discount targeting in Online Social networks
Online Social networks are increasingly being seen as a means of obtaining awareness of user preferences. Such awareness could be used to target goods and services at them. We cons...
Srinivas Shakkottai, Lei Ying, Sankalp Sah
ISW
2010
Springer
13 years 5 months ago
Implicit Authentication through Learning User Behavior
Users are increasingly dependent on mobile devices. However, current authentication methods like password entry are significantly more frustrating and difficult to perform on these...
Elaine Shi, Yuan Niu, Markus Jakobsson, Richard Ch...
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
11 years 10 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...
ER
2007
Springer
99views Database» more  ER 2007»
14 years 1 months ago
Capturing Users' Everyday, Implicit Information Integration Decisions
Integration of large databases by expert teams is only a small part of the data integration activities that take place. Users without data integration expertise very often gather,...
David W. Archer, Lois M. L. Delcambre
IPM
2007
85views more  IPM 2007»
13 years 7 months ago
A retrospective study of a hybrid document-context based retrieval model
This paper describes our novel retrieval model that is based on contexts of query terms in documents (i.e., document contexts). Our model is novel because it explicitly takes into...
Ho Chung Wu, Robert W. P. Luk, Kam-Fai Wong, K. L....