Relevant information is required in all kinds of information-based systems. It is not a triv-ial task to locate the right piece of informa-tion since it may be difficult (or impossible) specify query requests precisely and completely. Thus, a flexible retrieval algorithm is required, allowing for an imprecise query specification. The document presents an approach to judging relevance of retrieved information based on a novel approach to similarity assessment. Con-trary to other systems, we define relevance mea-sures (context in similarity) at query time. This is necessary if since without a context in simi-larity one cannot guarantee that similar items will also be relevant.
In this paper we look at some of the problems in interacting with best-match retrieval systems. In p...
Increase in the volume of stored and processed information imposes special requirements to methods a...
grantor: University of TorontoSimilarity plays a central role in theories of human problem...
In the task of information retrieval the term relevance is taken to mean formal conformity of a docu...
The aim of an information retrieval system is to find information items relevant to an information n...
Relevance is one of the most important concepts in information retrieval. This paper discusses vario...
the matter at hand. Relevance: The ability (as of an information retrieval sys-tem) to retrieve mate...
Relevance is a fundamental concept in information retrieval. We consider relevance from user perspec...
The judging of relevance has been a subject of study in information retrieval for a long time, espec...
Relevance as an information science concept is at the center of human information behavior. Relevan...
The main task of an Information Retrieval (IR) system is to return relevant documents to users in re...
User relevance judgments are central to both the systems and user-oriented approaches to information...
Prior to embarking on further study into the subject of relevance it is essential to consider why th...
User relevance judgments are central to both the systems and user-oriented approaches to information...
A new kind of metadata offers a synthesized view of an attribute's values for a user to exploit when...
In this paper we look at some of the problems in interacting with best-match retrieval systems. In p...
Increase in the volume of stored and processed information imposes special requirements to methods a...
grantor: University of TorontoSimilarity plays a central role in theories of human problem...
In the task of information retrieval the term relevance is taken to mean formal conformity of a docu...
The aim of an information retrieval system is to find information items relevant to an information n...
Relevance is one of the most important concepts in information retrieval. This paper discusses vario...
the matter at hand. Relevance: The ability (as of an information retrieval sys-tem) to retrieve mate...
Relevance is a fundamental concept in information retrieval. We consider relevance from user perspec...
The judging of relevance has been a subject of study in information retrieval for a long time, espec...
Relevance as an information science concept is at the center of human information behavior. Relevan...
The main task of an Information Retrieval (IR) system is to return relevant documents to users in re...
User relevance judgments are central to both the systems and user-oriented approaches to information...
Prior to embarking on further study into the subject of relevance it is essential to consider why th...
User relevance judgments are central to both the systems and user-oriented approaches to information...
A new kind of metadata offers a synthesized view of an attribute's values for a user to exploit when...
In this paper we look at some of the problems in interacting with best-match retrieval systems. In p...
Increase in the volume of stored and processed information imposes special requirements to methods a...
grantor: University of TorontoSimilarity plays a central role in theories of human problem...