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» Magnitude-preserving ranking algorithms
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SIGIR
2009
ACM
16 years 20 days ago
Learning to rank for quantity consensus queries
Web search is increasingly exploiting named entities like persons, places, businesses, addresses and dates. Entity ranking is also of current interest at INEX and TREC. Numerical ...
Somnath Banerjee, Soumen Chakrabarti, Ganesh Ramak...
CIIA
2009
15 years 7 months ago
Ontology-Driven Method for Ranking Unexpected Rules
Several rule discovery algorithms have the disadvantage to discover too much patterns sometimes obvious, useless or not very interesting to the user. In this paper we propose a new...
Mohamed Said Hamani, Ramdane Maamri
WWW
2007
ACM
16 years 6 months ago
Automatic searching of tables in digital libraries
Tables are ubiquitous. Unfortunately, no search engine supports table search. In this paper, we propose a novel table specific searching engine, TableSeer, to facilitate the table...
Ying Liu, Kun Bai, Prasenjit Mitra, C. Lee Giles
RECSYS
2010
ACM
15 years 6 months ago
Nantonac collaborative filtering: a model-based approach
A recommender system has to collect users' preference data. To collect such data, rating or scoring methods that use rating scales, such as good-fair-poor or a five-point-sca...
Toshihiro Kamishima, Shotaro Akaho
SIGECOM
2010
ACM
154views ECommerce» more  SIGECOM 2010»
15 years 11 months ago
Ranking games that have competitiveness-based strategies
This paper studies —from the perspective of efficient computation— a type of competition that is widespread throughout the plant and animal kingdoms, higher education, politic...
Leslie Ann Goldberg, Paul W. Goldberg, Piotr Kryst...