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» Learning to rank for information retrieval
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WWW
2010
ACM
16 years 1 months ago
RankCompete: simultaneous ranking and clustering of web photos
With the explosive growth of digital cameras and online media, it has become crucial to design efficient methods that help users browse and search large image collections. The rec...
Liangliang Cao, Andrey Del Pozo, Xin Jin, Jiebo Lu...
ECTEL
2007
Springer
16 years 13 days ago
Relevance Ranking Metrics for Learning Objects
— The main objetive of this paper is to improve the current status of learning object search. First, the current situation is analyzed and a theretical solution, based on relevan...
Xavier Ochoa, Erik Duval
WSDM
2009
ACM
125views Data Mining» more  WSDM 2009»
16 years 1 months ago
Less is more: sampling the neighborhood graph makes SALSA better and faster
In this paper, we attempt to improve the effectiveness and the efficiency of query-dependent link-based ranking algorithms such as HITS, MAX and SALSA. All these ranking algorith...
Marc Najork, Sreenivas Gollapudi, Rina Panigrahy
CLEF
2010
Springer
15 years 7 months ago
Validating Query Simulators: An Experiment Using Commercial Searches and Purchases
Abstract. We design and validate simulators for generating queries and relevance judgments for retrieval system evaluation. We develop a simulation framework that incorporates exis...
Bouke Huurnink, Katja Hofmann, Maarten de Rijke, M...
ML
2010
ACM
141views Machine Learning» more  ML 2010»
15 years 4 months ago
Relational retrieval using a combination of path-constrained random walks
Scientific literature with rich metadata can be represented as a labeled directed graph. This graph representation enables a number of scientific tasks such as ad hoc retrieval o...
Ni Lao, William W. Cohen