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http://hdl.handle.net/10397/70090
Title: | Laws of attraction : in search of document value-ness for recommendation | Authors: | Tang, TY Mccalla, GI |
Issue Date: | 2004 | Publisher: | Springer | Source: | Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics), 2004, v. 3232, p. 269-280 How to cite? | Journal: | Lecture notes in computer science (including subseries Lecture notes in artificial intelligence and lecture notes in bioinformatics) | Abstract: | In this paper we explore the uniqueness of paper recommendation for e-learning systems through a human-subject study. Experiment results showed that the majority of learners have struggled to reach a ‘harmony’ between their interest and educational goal: they admit that in order to acquire new knowledge, they are willing to read not-interesting-yet-pedagogically-useful papers. In other words, learners seem to be more tolerant than users in commercial recommender systems. Nevertheless, as educators, we should still maintain a balance of recommending interesting papers and pedagogically helpful ones in order to retain learners and continuously engage them throughout the learning process. | Description: | 8th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2004, Bath, UK, September 12-17, 2004 | URI: | http://hdl.handle.net/10397/70090 | ISBN: | 978-3-540-23013-7 978-3-540-30230-8 |
ISSN: | 0302-9743 | EISSN: | 1611-3349 | DOI: | 10.1007/978-3-540-30230-8_25 |
Appears in Collections: | Conference Paper |
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