438 search results - page 55 / 88 » Modeling and predicting user behavior in sponsored search |
SIGIR
2006
ACM
14 years 1 months ago
2006
ACM
Memory-based methods for collaborative filtering predict new ratings by averaging (weighted) ratings between, respectively, pairs of similar users or items. In practice, a large ...
WWW
2005
ACM
14 years 8 months ago
2005
ACM
Based on the type of collaborative objects, a collaborative filtering (CF) system falls into one of two categories: item-based CF and user-based CF. Clustering is the basic idea i...
AAAI
2011
12 years 7 months ago
2011
Externalities are recognized to exist in the sponsored search market, where two co-located ads compete for user attention. Existing work focuses on the effect of another ad on th...
RECSYS
2009
ACM
14 years 2 months ago
2009
ACM
A fundamental aspect of rating-based recommender systems is the observation process, the process by which users choose the items they rate. Nearly all research on collaborative ...
CW
2008
IEEE
14 years 2 months ago
2008
IEEE
This paper aims at proposing a framework for animating virtual humans that can efficiently interact with real users in virtual reality (VR). If the user’s order can be modeled ...