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Title:Evaluating the CC-IDF citation-weighting scheme: How effectively can ‘Inverse Document Frequency’ (IDF) be applied to references?
Author(s):Beel, Joeran; Breitinger, Corinna; Langer, Stefan
Subject(s):Recommender systems
Common Citation Inverse Document Frequency (CC-IDF)
Digital libraries
Weighting schemes
Inverse Document Frequency (IDF)
Related document search
Abstract:In the domain of academic search engines and research-paper recommender systems, CC-IDF is a common citation-weighting scheme that is used to calculate semantic relatedness between documents. CC-IDF adopts the principles of the popular term-weighting scheme TF-IDF and assumes that if a rare academic citation is shared by two documents then this occurrence should receive a higher weight than if the citation is shared among a large number of documents. Although CC-IDF is in common use, we found no empirical evaluation and comparison of CC-IDF with plain citation weight (CC-Only). Therefore, we conducted such an evaluation and present the results in this paper. The evaluation was conducted with real users of the recommender system Docear. The effectiveness of CC-IDF and CC-Only was measured using click-through rate (CTR). For 238,681 delivered recommendations, CC-IDF had about the same effectiveness as CC-Only (CTR of 6.15% vs. 6.23%). In other words, CC-IDF was not more effective than CC-Only, which is a surprising result. We provide a number of potential reasons and suggest to conduct further research to understand the principles of CC-IDF in more detail.
Issue Date:2017
Citation Info:Beel, J., Breitinger, C., & Langer, S. (2017). Evaluating the CC-IDF Citation-Weighting Scheme: How Effectively can “Inverse Document Frequency” (IDF) be Applied to References? In iConference 2017 Proceedings (pp. 387-399).
Series/Report:iConference 2017 Proceedings
Genre:Conference Paper / Presentation
Rights Information:Copyright 2017 Joeran Beel, Corinna Breitinger, and Stefan Langer
Date Available in IDEALS:2017-07-27

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