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This paper introduces and analyzes a new approach to query suggestion. After the user issues a query q_0, for every document retrieved in a certain rank range [Theta_1,Theta_2], a query search procedure constructs queries that rank the document high enough for the user to see it. From this set of queries the suggestions to be presented to the user are then selected so as to give the best possible access to the documents that were ranked in [Theta_1,Theta_2] for the user's initial query q_0. This approach turns out to be successful under certain assumptions, which are discussed in this paper.
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). | 5 | |
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. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |