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Relevance

Known as: Relevancy, Pertinence, Pertinent 
Relevance is the concept of one topic being connected to another topic in a way that makes it useful to consider the first topic when considering the… 
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Related topics

Related topics

29 relations
BrowsingContingency (philosophy)Controlled vocabularyData quality

Broader (1)

Information science

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
A Distributed, Architecture-Centric Approach to Computing Accurate Recommendations from Very Large and Sparse Datasets
The use of recommender systems is an emerging trend today, when user behavior information is abundant. There are many large… 
Highly Cited
2004
Highly Cited
2004
Brand Portfolio Strategy: Creating Relevance, Differentiation, Energy, Leverage, and Clarity
Contents Preface Acknowledgments Part I: What is Brand Portfolio Strategy? Chapter 1. Brand Portfolio Strategy The Intel Case… 
Highly Cited
2001
Highly Cited
2001
The Value Relevance of Brand Attitude in High-Technology Markets
The authors assess the extent to which brand attitude, a key component of brand equity, has value relevance—that is, helps… 
Highly Cited
2000
Highly Cited
2000
A Case for Comparative Entrepreneurship: Assessing the Relevance of Culture
As international entrepreneurship gains momentum as a significant and relevant field of research, scholars need to address… 
Highly Cited
1999
Highly Cited
1999
Eliminating autocorrelation reduces biological relevance of home range estimates
1. Destructive subsampling or restrictive sampling are often standard procedures to obtain independence of spatial observations… 
Highly Cited
1998
Highly Cited
1998
Informativeness, relevance and scalar implicature
1. Introduction The main topic of this paper is the phenomenon of scalar implicature. Typical examples are given in (1)-(4): (1… 
Highly Cited
1996
Highly Cited
1996
Judging Instrument Relevance in Instrumental Variables Estimation
Recent research has emphasized the poor finite-sample performance of the instrumental variables estimator when the instruments… 
Highly Cited
1995
Highly Cited
1995
Bayesian Learning for Neural Networks
Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions… 
Highly Cited
1994
Highly Cited
1994
THE VALUE RELEVANCE OF GERMAN ACCOUNTING MEASURES: AN EMPIRICAL ANALYSIS
In this study we compare the value relevance of accounting measures for U.S. and German firms matched on industry and firm size… 
Highly Cited
1981
Highly Cited
1981
Behavioral Learning Theory: Its Relevance to Marketing and Promotions
Behavioral learning theory has been generally overlooked in the development of marketing thought. The central concept states that… 
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