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ERCIMDL
2005
Springer
305views Education» more  ERCIMDL 2005»
15 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
15 years 1 days 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
85
Voted
DKE
2007
162views more  DKE 2007»
14 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
13 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»
13 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...