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AMR
2003
Springer
179views Multimedia» more  AMR 2003»
13 years 10 months ago
Building User Models from Observations of Users Accessing Multimedia Learning Objects
Abstract. We report our work towards building user models of learner’s development based upon evidence of their interactions with an e-learning website composed of multimedia lea...
Judy Kay, Andrew Lum
SIGIR
2011
ACM
12 years 8 months ago
Collaborative competitive filtering: learning recommender using context of user choice
While a user’s preference is directly reflected in the interactive choice process between her and the recommender, this wealth of information was not fully exploited for learni...
Shuang-Hong Yang, Bo Long, Alexander J. Smola, Hon...
WSDM
2012
ACM
258views Data Mining» more  WSDM 2012»
12 years 22 days ago
Large-scale analysis of individual and task differences in search result page examination strategies
Understanding the impact of individual and task differences on search result page examination strategies is important in developing improved search engines. Characterizing these e...
Georg Buscher, Ryen W. White, Susan T. Dumais, Jef...
KDD
2005
ACM
109views Data Mining» more  KDD 2005»
14 years 5 months ago
Overcoming Incomplete User Models in Recommendation Systems Via an Ontology
Abstract. To make accurate recommendations, recommendation systems currently require more data about a customer than is usually available. We conjecture that the weaknesses are due...
Vincent Schickel-Zuber, Boi Faltings
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
13 years 11 months ago
Cascaded generic XCS to learn about reminding preferences
We are developing an adaptive reminding system, which learns when and how to present notifications. In this paper, we focus on our XCS-based model, composed of two cascaded sets ...
Nadine Richard, Samuel Tardieu, Seiji Yamada