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https://doi.org/10.1109/hicss....
Article . 2005 . Peer-reviewed
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Genre based navigation on the Web

Authors: Jin Cai; Barbara H. Kwasnik; Xiaoyong Liu; Michael S. Nilan; Dmitri Roussinov; Kevin Crowston;

Genre based navigation on the Web

Abstract

We report on our ongoing study of using the genre of Web pages to facilitate information exploration. By genre, we mean socially recognized regularities of form and purpose in documents (e.g., a letter, a memo, a research paper). Our study had three phases. First, through a user study, we identified genres which most/least frequently meet searchers' information needs. We found that certain genres are better suited for certain types of needs. We identified five major groups of document genres that might be used in an interactive search tool that would allow genre based navigation. We tried to balance the following dual objectives: i) each group should be recognizable by a computer algorithm as easily as possible; ii) each group has a better chance of satisfying particular types of information needs. Finally, we developed a novel user interface for Web searching that allows genre based navigation through three major functionalities: 1) limiting search to specified genres, 2) visualizing the hierarchy of genres discovered in the search results and 3) accepting user feedback on the relevancy of the specified genres.

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
45
Top 10%
Top 10%
Top 10%