Nishioka, Chifumi and Scherp, Ansgar (2016) Profiling vs. Time vs. Content. In: 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016-06-19 - 2016-06-23, Newark, New Jersey, USA.
Nishioka, Chifumi and Scherp, Ansgar (2016) Profiling vs. Time vs. Content. In: 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016-06-19 - 2016-06-23, Newark, New Jersey, USA.
Nishioka, Chifumi and Scherp, Ansgar (2016) Profiling vs. Time vs. Content. In: 16th ACM/IEEE-CS on Joint Conference on Digital Libraries, 2016-06-19 - 2016-06-23, Newark, New Jersey, USA.
Abstract
So far it is unclear how different factors of a scientific publication recommender system based on users' tweets have an influence on the recommendation performance. We examine three different factors, namely profiling method, temporal decay, and richness of content. Regarding profiling, we compare CF-IDF that replaces terms in TF-IDF by semantic concepts, HCF-IDF as novel hierarchical variant of CF-IDF, and topic modeling. As temporal decay functions, we apply sliding window and exponential decay. In terms of the richness of content, we compare recommendations using both full-texts and titles of publications and using only titles. Overall, the three factors make twelve recommendation strategies. We have conducted an online experiment with 123 participants and compared the strategies in a within-group design. The best recommendations are achieved by the strategy combining CF-IDF, sliding window, and with full-texts. However, the strategies using the novel HCF-IDF profiling method achieve similar results with just using the titles of the publications. Therefore, HCF-IDF can make recommendations when only short and sparse data is available.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Published proceedings: Proceedings of the 16th ACM/IEEE-CS on Joint Conference on Digital Libraries - JCDL '16 |
Uncontrolled Keywords: | cs.DL; cs.IR |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 31 Jul 2019 11:13 |
Last Modified: | 13 Nov 2024 09:20 |
URI: | http://repository.essex.ac.uk/id/eprint/24371 |
Available files
Filename: 1603.07016v3.pdf