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ACL
2006
13 years 11 months ago
Segment-Based Hidden Markov Models for Information Extraction
Hidden Markov models (HMMs) are powerful statistical models that have found successful applications in Information Extraction (IE). In current approaches to applying HMMs to IE, a...
Zhenmei Gu, Nick Cercone
SIGIR
1998
ACM
13 years 10 months ago
Exploring the Similarity Space
Ranked queries are used to locate relevant documents in text databases. In a ranked query a list of terms is specified, then the documents that most closely match the query are re...
Justin Zobel, Alistair Moffat
TREC
2003
13 years 11 months ago
Overview of the TREC 2003 Robust Retrieval Track
The robust retrieval track is a new track in TREC 2003. The goal of the track is to improve the consistency of retrieval technology by focusing on poorly performing topics. In add...
Ellen M. Voorhees
CORR
2010
Springer
169views Education» more  CORR 2010»
13 years 4 months ago
Recommender Systems by means of Information Retrieval
In this paper we present a method for reformulating the Recommender Systems problem in an Information Retrieval one. In our tests we have a dataset of users who give ratings for s...
Alberto Costa, Fabio Roda
SIGIR
2010
ACM
14 years 2 months ago
Self-taught hashing for fast similarity search
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu