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ERCIMDL
2005
Springer
305views Education» more  ERCIMDL 2005»
14 years 3 months ago
Focused Crawling Using Latent Semantic Indexing - An Application for Vertical Search Engines
Vertical search engines and web portals are gaining ground over the general-purpose engines due to their limited size and their high precision for the domain they cover. The number...
George Almpanidis, Constantine Kotropoulos, Ioanni...
CIKM
2005
Springer
13 years 12 months ago
Using RankBoost to compare retrieval systems
This paper presents a new pooling method for constructing the assessment sets used in the evaluation of retrieval systems. Our proposal is based on RankBoost, a machine learning v...
Huyen-Trang Vu, Patrick Gallinari
DKE
2007
162views more  DKE 2007»
13 years 10 months ago
A new algorithm for clustering search results
We develop a new algorithm for clustering search results. Differently from many other clustering systems that have been recently proposed as a post-processing step for Web search ...
Giansalvatore Mecca, Salvatore Raunich, Alessandro...
CIKM
2011
Springer
12 years 10 months ago
Hybrid models for future event prediction
We present a hybrid method to turn off-the-shelf information retrieval (IR) systems into future event predictors. Given a query, a time series model is trained on the publication...
Giuseppe Amodeo, Roi Blanco, Ulf Brefeld
WSDM
2012
ACM
267views Data Mining» more  WSDM 2012»
12 years 5 months ago
Learning to rank with multi-aspect relevance for vertical search
Many vertical search tasks such as local search focus on specific domains. The meaning of relevance in these verticals is domain-specific and usually consists of multiple well-d...
Changsung Kang, Xuanhui Wang, Yi Chang, Belle L. T...