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RECSYS
2010
ACM
14 years 8 months ago
List-wise learning to rank with matrix factorization for collaborative filtering
A ranking approach, ListRank-MF, is proposed for collaborative filtering that combines a list-wise learning-to-rank algorithm with matrix factorization (MF). A ranked list of item...
Yue Shi, Martha Larson, Alan Hanjalic
EWCBR
2006
Springer
15 years 1 months ago
Combining Case-Based and Similarity-Based Product Recommendation
Product recommender systems are a popular application and research field of CBR for several years now. However, almost all CBRbased recommender systems are not case-based in the or...
Armin Stahl
WEBNET
1996
14 years 11 months ago
Digital Libraries Based on Full-Text Retrieval
: Because digital libraries are expensive to create and maintain, Internet analogs of public libraries--reliable, quality, community services--have only recently begun to appear. A...
Ian H. Witten, Craig G. Nevill-Manning, Sally Jo C...
READING
2004
Springer
15 years 3 months ago
Improving Document Transformation Techniques with Collaborative Learned Term-Based Concepts
Document Transformation techniques have been studied for decades. In this paper, a new approach for a significant improvement is presented based on using a new query expansion met...
Stefan Klink
JCST
2008
138views more  JCST 2008»
14 years 10 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003