Amanote Research
Register
Sign In
Query Performance Prediction for Entity Retrieval
doi 10.1145/2600428.2609519
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2014
Authors
Hadas Raviv
Oren Kurland
David Carmel
Publisher
ACM Press
Related search
Neural Embedding-Based Metrics for Pre-Retrieval Query Performance Prediction
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Query Difficulty Prediction for Contextual Image Retrieval
Lecture Notes in Computer Science
Computer Science
Theoretical Computer Science
Entity Centric Information Retrieval
ACM SIGIR Forum
Ontology-Based Query Expansion for Arabic Text Retrieval
International Journal of Advanced Computer Science and Applications
Computer Science
Unsupervised Query Segmentation Using Clickthrough for Information Retrieval
A Hybrid Query Language for an Extended Entity-Relationship Model
Journal of Visual Languages and Computing
Linguistics
Computer Science Applications
Human-Computer Interaction
Language
Improving Retrieval Performance Based on Query Expansion With Wikipedia and Text Mining Technique
International Journal of Intelligent Engineering and Systems
Engineering
Computer Science
A Robust Music Retrieval Method for Query-By-Humming
The Effectiveness of Query Expansion for Distributed Information Retrieval
