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CIKM
2011
Springer
12 years 6 months ago
A probabilistic method for inferring preferences from clicks
Evaluating rankers using implicit feedback, such as clicks on documents in a result list, is an increasingly popular alternative to traditional evaluation methods based on explici...
Katja Hofmann, Shimon Whiteson, Maarten de Rijke
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
12 years 1 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
SIGIR
2012
ACM
11 years 8 months ago
An exploration of ranking heuristics in mobile local search
Users increasingly rely on their mobile devices to search local entities, typically businesses, while on the go. Even though recent work has recognized that the ranking signals in...
Yuanhua Lv, Dimitrios Lymberopoulos, Qiang Wu
CVPR
2012
IEEE
11 years 8 months ago
Center-Shift: An approach towards automatic robust mesh segmentation (ARMS)
In the area of 3D shape analysis, research in mesh segmentation has always been an important topic, as it is a fundamental low-level task which can be utilized in many application...
Mengtian Sun, Yi Fang, Karthik Ramani
GIS
2004
ACM
14 years 7 months ago
A serverless 3D world
Online multi-participant virtual-world systems have attracted significant interest from the Internet community but are hindered by their inability to efficiently support interacti...
Egemen Tanin, Aaron Harwood, Hanan Samet, Sarana N...