Considerable evidence exists to show that the use of term relevance weights is beneficial in interactive information retrieval. Various term weighting systems are reviewed. An experiment is then described in which information retrieval users are asked to rank query terms in decreasing order of presumed importance prior to actual search and retrieval. The experimental design is examined, and various relevance ranking systems are evaluated, including fully automatic systems based on inverse document frequency parameters, human rankings performed by the user population, and combinations of the two
How to assign appropriate weights to terms is one of the critical issues in information retrieval. M...
User relevance judgments are central to both the systems and user-oriented approaches to information...
User relevance judgments are central to both the systems and user-oriented approaches to information...
The term relevance weighting method has been shown to produce optimal information retrieval queries...
The primary objective of an information retrieval (IR) system is to retrieve relevant documents with...
In this paper we report on a series of experiments designed to investigate the combination of term a...
The objective of this study is to evaluate the relevance ranking effectiveness of six search engines...
The experimental evidence accumulated over the past 20 years indicates that textindexing systems ba...
An introduction to the concept of relevance rankings systems used by internet search engines and the...
Term-weighting functions derived from various models of retrieval aim to model human notions of rele...
In this paper we present some new methods of ranking information retrieval systems without relevance...
Users of information filtering systems cannot be expected to provide large amounts of information to...
Some measures such as mean average precision and recall level precision are considered as good syste...
The performance of information retrieval systems can be evaluated in a number of different ways. Mu...
Purpose: The effort in addition to relevance is a major factor for satisfaction and utility of the d...
How to assign appropriate weights to terms is one of the critical issues in information retrieval. M...
User relevance judgments are central to both the systems and user-oriented approaches to information...
User relevance judgments are central to both the systems and user-oriented approaches to information...
The term relevance weighting method has been shown to produce optimal information retrieval queries...
The primary objective of an information retrieval (IR) system is to retrieve relevant documents with...
In this paper we report on a series of experiments designed to investigate the combination of term a...
The objective of this study is to evaluate the relevance ranking effectiveness of six search engines...
The experimental evidence accumulated over the past 20 years indicates that textindexing systems ba...
An introduction to the concept of relevance rankings systems used by internet search engines and the...
Term-weighting functions derived from various models of retrieval aim to model human notions of rele...
In this paper we present some new methods of ranking information retrieval systems without relevance...
Users of information filtering systems cannot be expected to provide large amounts of information to...
Some measures such as mean average precision and recall level precision are considered as good syste...
The performance of information retrieval systems can be evaluated in a number of different ways. Mu...
Purpose: The effort in addition to relevance is a major factor for satisfaction and utility of the d...
How to assign appropriate weights to terms is one of the critical issues in information retrieval. M...
User relevance judgments are central to both the systems and user-oriented approaches to information...
User relevance judgments are central to both the systems and user-oriented approaches to information...