Abstract
The present article offers preliminary outcomes of a user study that investigated the acceptance of a recommender system that suggests future co- authors for scientific article writing. The recommendation approach is twofold: network information (betweenness centrality) and author (keyword) similarity are used to compute the utility of peers in a network of co-authors. Two sets of recommendations were provided to the participants: Set one focused on all candidate authors, including co-authors of a target user to strengthen current bonds and strive for acceptance of a certain research topic. Set two focused on solely new co-authors of a target user to foster creativity, excluding current co- authors. A small-scale evaluation suggests that the utility-based recommendation approach is promising, but to maximize outcome, we need to 1) compensate for researchers’ interests that change over time, and 2) account for multi-person co-authored papers.
Original language | English |
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Pages (from-to) | 121-137 |
Number of pages | 17 |
Journal | International Journal of Technology Enhanced Learning (IJTEL) |
Volume | 4 |
Issue number | 1/2 |
DOIs | |
Publication status | Published - 2012 |
Keywords
- research
- cooperation
- network
- similarity
- recommender systems
- utility-based
- utility
- betweenness centrality