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RECSYS
2009
ACM
14 years 1 months ago
Collaborative prediction and ranking with non-random missing data
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 ï¬...
Benjamin M. Marlin, Richard S. Zemel
PAKDD
2009
ACM
94views Data Mining» more  PAKDD 2009»
14 years 11 hour ago
Item Preference Parameters from Grouped Ranking Observations
Given a set of rating data for a set of items, determining the values of items is a matter of importance and various probability models have been proposed. The Plackett-Luce model ...
Hideitsu Hino, Yu Fujimoto, Noboru Murata
VLDB
1992
ACM
137views Database» more  VLDB 1992»
13 years 11 months ago
Random Sampling from Pseudo-Ranked B+ Trees
In the past, two basic approaches for sampling f5-om B+ trees have been suggested: sampling from the ranked trees and acceptance/rejection sampling i?om non-ranked trees. The firs...
Gennady Antoshenkov
CVPR
2007
IEEE
14 years 9 months ago
Parameter Sensitive Detectors
Object detection can be challenging when the object class exhibits large variations. One commonly-used strategy is to first partition the space of possible object variations and t...
Quan Yuan, Ashwin Thangali, Vitaly Ablavsky, Stan ...
SIGIR
2012
ACM
11 years 10 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