SIGIR
2002
ACM
13 years 4 months ago
2002
ACM
Arabic, a highly inflected language, requires good stemming for effective information retrieval, yet no standard approach to stemming has emerged. We developed several light stemm...
SIGIR
2002
ACM
13 years 4 months ago
2002
ACM
This paper follows a formal approach to information retrieval based on statistical language models. By introducing some simple reformulations of the basic language modeling approa...
JUCS
2002
13 years 4 months ago
2002
The main goal of this research is to improve Information Retrieval Systems by enabling them to generate search outcomes that are relevant and customized to each specific user. Our ...
JASIS
1998
13 years 4 months ago
1998
The standard method for making the full content of audio and video material searchable and is to annotate it with humangenerated meta-data that describes the content in a way that...
IWC
1998
13 years 4 months ago
1998
The aim of an information retrieval system is to nd relevant documents, thus relevance is a (if not `the') central concept of information retrieval. Notwithstanding its impor...
CAS
1999
13 years 4 months ago
1999
We here expand on a previous paper concerning the role of logic in information retrieval (IR) modelling. In that paper, among other things, we had pointed out how different ways of...
IPM
2002
13 years 4 months ago
2002
The classi
AI
1999
Springer
13 years 4 months ago
1999
Springer
This paper addresses the relations between information retrieval (IR) and AI. It examines document retrieval, summarising its essential features and illustrating the state of its ...
CAI
1998
Springer
13 years 4 months ago
1998
Springer
Abstract. Imaging is a class of non-Bayesian methods for the revision of probability density functions originally proposed as a semantics for conditional logic. Two of these revisi...
JCST
2000
13 years 4 months ago
2000
: A mass of heterogeneous, distributed and dynamic information on the World Wide Web (the Web) has resulted in "information overload". It's an important and urgent r...