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SIGIR
2012
ACM
11 years 11 months ago
TFMAP: optimizing MAP for top-n context-aware recommendation
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...
Yue Shi, Alexandros Karatzoglou, Linas Baltrunas, ...
ICML
2001
IEEE
14 years 9 months ago
Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval
In this paper, we show how we can learn to select good words for a document title. We view the problem of selecting good title words for a document as a variant of an Information ...
Rong Jin, Alexander G. Hauptmann
ICDM
2010
IEEE
134views Data Mining» more  ICDM 2010»
13 years 7 months ago
Consequences of Variability in Classifier Performance Estimates
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
Troy Raeder, T. Ryan Hoens, Nitesh V. Chawla
ICTAI
2010
IEEE
13 years 7 months ago
Support Vector Methods for Sentence Level Machine Translation Evaluation
Recent work in the field of machine translation (MT) evaluation suggests that sentence level evaluation based on machine learning (ML) can outperform the standard metrics such as B...
Antoine Veillard, Elvina Melissa, Cassandra Theodo...
CLEIEJ
2010
13 years 6 months ago
Synchronous versus Asynchronous interaction between users of two collaborative tools for the production of Use Cases
The performance of requirement engineers in the production of Use Cases is analyzed and compared using a collaborative editor in synchronous mode versus one in asynchronous mode, ...
Carlos M. Fuenzalida, Hector B. Antillanca