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» Learning to rank for information retrieval
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WWW
2010
ACM
16 years 1 months ago
LCA-based selection for XML document collections
In this paper, we address the problem of database selection for XML document collections, that is, given a set of collections and a user query, how to rank the collections based o...
Georgia Koloniari, Evaggelia Pitoura
CIKM
2009
Springer
15 years 11 months ago
Data extraction from the web using wild card queries
This paper presents an overview of our framework for searching and retrieving facts and relationships within natural language text sources. In this framework, an extraction task o...
Davood Rafiei, Haobin Li
CIKM
2000
Springer
15 years 10 months ago
Collection Selection and Results Merging with Topically Organized U.S. Patents and TREC Data
We investigate three issues in distributed information retrieval, considering both TREC data and U.S. Patents: (1) topical organization of large text collections, (2) collection r...
Leah S. Larkey, Margaret E. Connell, James P. Call...
ESWS
2008
Springer
15 years 8 months ago
Enhancing Semantic Search using N-Levels Document Representation
The traditional strategy performed by Information Retrieval (IR) systems is ranked keyword search: For a given query, a list of documents, ordered by relevance, is returned. Releva...
Pierpaolo Basile, Annalina Caputo, Anna Lisa Genti...
SIGIR
2010
ACM
15 years 4 months ago
DivQ: diversification for keyword search over structured databases
Keyword queries over structured databases are notoriously ambiguous. No single interpretation of a keyword query can satisfy all users, and multiple interpretations may yield over...
Elena Demidova, Peter Fankhauser, Xuan Zhou, Wolfg...