Sciweavers

2164 search results - page 68 / 433
» Learning to rank for information retrieval
Sort
View
WWW
2005
ACM
15 years 10 months ago
Ranking a stream of news
According to a recent survey made by Nielsen NetRatings, searching on news articles is one of the most important activity online. Indeed, Google, Yahoo, MSN and many others have p...
Gianna M. Del Corso, Antonio Gulli, Francesco Roma...
SIGMOD
2007
ACM
144views Database» more  SIGMOD 2007»
15 years 10 months ago
The TopX DB&IR engine
This paper proposes a demo of the TopX search engine, an extensive framework for unified indexing, querying, and ranking of large collections of unstructured, semistructured, and ...
Martin Theobald, Ralf Schenkel, Gerhard Weikum
WSDM
2010
ACM
160views Data Mining» more  WSDM 2010»
15 years 7 months ago
Learning Concept Importance Using a Weighted Dependence Model
Modeling query concepts through term dependencies has been shown to have a significant positive effect on retrieval performance, especially for tasks such as web search, where rel...
Michael Bendersky, Donald Metzler, W. Bruce Croft
IIR
2010
14 years 11 months ago
Developing the Quantum Probability Ranking Principle
In this work, we summarise the development of a ranking principle based on quantum probability theory, called the Quantum Probability Ranking Principle (QPRP), and we also provide...
Guido Zuccon, Leif Azzopardi
ICEIS
2007
IEEE
15 years 4 months ago
Learning to Rank for Collaborative Filtering
Jean-François Pessiot, Tuong-Vinh Truong, N...