We propose a new metric to evaluate and rank the relevance of words in a text. The method uses the density uctuations of a word to compute an index that measures its degree of clustering. Highly signiΓΏcant words tend to form clusters, while common words are essentially uniformly spread in a text. If
Relevance for browsing, relevance for searching
β Scribed by David Bodoff
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 193 KB
- Volume
- 57
- Category
- Article
- ISSN
- 1532-2882
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
The concept of relevance has received a great deal of theoretical attention. Separately, the relationship between focused search and browsing has also received extensive theoretical attention. This article aims to integrate these two literatures with a model and an empirical study that relate relevance in focused searching to relevance in browsing. Some factors affect both kinds of relevance in the same direction; others affect them in different ways. In our empirical study, we find that the latter factors dominate, so that there is actually a negative correlation between the probability of a document's relevance to a browsing user and its probability of relevance to a focused searcher.
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