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 art by presenting one probabilistic model in detail, with some test results showing its value. The paper then analyses this model and related successful approaches, concentrating on and justifying their use of weak, redundant representation and reasoning. It goes on to other information management tasks and considers how the concepts and methods developed for retrieval may be applied to these, concluding by arguing that such ways of dealing with information may also have wider relevance to AI. Ó 199
Much of today’s success in Information Retrieval (IR) comes from a hard approach: employing blazingl...
Article discussing artificial intelligence, libraries, and information retrieval
Artificial Intelligence is a broad field that encompasses various concepts in Information Technology...
International audienceInformation Retrieval (IR) is a process involving activities related to human ...
The fields of artificial intelligence and information retrieval share a common interest in developi...
Information retrieval (IR) systems are used for finding, within a large text database, those documen...
Efective information retrieval is a major requirement for most users. This is because too much infor...
This paper addresses the problem of building expert interfaces to information retrieval systems. In ...
Artificial Intelligence Lab, Department of MIS, University of ArizonaTwo studies were conducted to i...
In this paper I define the problem of Information Retrieval (IR) in terms of cognitive science. I ar...
This chapter provides a tutorial review of the current state of the art in the area of Web search an...
Information retrieval (IR) aims at defining systems able to provide a fast and effective content-bas...
This paper is intended to provide an analytical background for those seeking effective text retrieva...
The paper provides an introduction to and survey of probabilistic approaches to modelling Informatio...
Much of today’s success in Information Retrieval (IR) comes from a hard approach: employing blazingl...
Much of today’s success in Information Retrieval (IR) comes from a hard approach: employing blazingl...
Article discussing artificial intelligence, libraries, and information retrieval
Artificial Intelligence is a broad field that encompasses various concepts in Information Technology...
International audienceInformation Retrieval (IR) is a process involving activities related to human ...
The fields of artificial intelligence and information retrieval share a common interest in developi...
Information retrieval (IR) systems are used for finding, within a large text database, those documen...
Efective information retrieval is a major requirement for most users. This is because too much infor...
This paper addresses the problem of building expert interfaces to information retrieval systems. In ...
Artificial Intelligence Lab, Department of MIS, University of ArizonaTwo studies were conducted to i...
In this paper I define the problem of Information Retrieval (IR) in terms of cognitive science. I ar...
This chapter provides a tutorial review of the current state of the art in the area of Web search an...
Information retrieval (IR) aims at defining systems able to provide a fast and effective content-bas...
This paper is intended to provide an analytical background for those seeking effective text retrieva...
The paper provides an introduction to and survey of probabilistic approaches to modelling Informatio...
Much of today’s success in Information Retrieval (IR) comes from a hard approach: employing blazingl...
Much of today’s success in Information Retrieval (IR) comes from a hard approach: employing blazingl...
Article discussing artificial intelligence, libraries, and information retrieval
Artificial Intelligence is a broad field that encompasses various concepts in Information Technology...