Research-paper recommender systems: a literature survey

@article{Beel2015ResearchpaperRS,
  title={Research-paper recommender systems: a literature survey},
  author={Joeran Beel and Bela Gipp and Stefan Langer and Corinna Breitinger},
  journal={International Journal on Digital Libraries},
  year={2015},
  volume={17},
  pages={305-338}
}
In the last 16 years, more than 200 research articles were published about research-paper recommender systems. [...] Key Result We identified three potential reasons for the ambiguity of the results. (A) Several evaluations had limitations. They were based on strongly pruned datasets, few participants in user studies, or did not use appropriate baselines. (B) Some authors provided little information about their algorithms, which makes it difficult to re-implement the approaches. Consequently, researchers use…Expand
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490 Citations
Highly Influential Citations
34
Background Citations
184
Methods Citations
82
Results Citations
2

490 Citations

Citation Type

Citation Type

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A graph-based taxonomy of citation recommendation models
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This survey explores the state-of-the-art citation recommendation models which are explored using the following seven criteria: platform used, data factors/features, data representation methods, methodologies and models, recommendation types, problems addressed, and personalization. Expand
A Scalable Hybrid Research Paper Recommender System for Microsoft Academic
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There is a strong correlation between participant scores and the similarity rankings produced by the large scale hybrid paper recommender system but that additional focus needs to be put towards improving recommender precision, particularly for content based recommendations. Expand
Venue Recommendation Based on Paper’s Title and Co-authors Network
Information overload has always been a remarkable topic in scientific researches, and one of the available approaches in this field is employing recommender systems. With the spread of these systems… Expand
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TLDR
This research explored the significant portion of the full content contained by the Metadata of research articles and implemented the TF-IDF over Metadata and full content and considered the intersection of key terms. Expand
Towards reproducibility in recommender-systems research
TLDR
The recommender-system community needs to survey other research fields and learn from them, find a common understanding of reproducibility, identify and understand the determinants that affect reproduCibility, conduct more comprehensive experiments, and establish best-practice guidelines for recommender -systems research. Expand
Building recommender systems for scholarly information
TLDR
It is shown how implicit user feedback and collaborative filtering are used to generate the recommendations for Mendeley Suggest, and it is found that among senior academics, content-based recommendations from recent activity had comparable performance to collaborative filtering. Expand
A review of citation recommendation: from textual content to enriched context
TLDR
This review is conducted to identify the information and methods used for recommendations recently, and introduces definitions of the task, recommending factors along with the corresponding problems and some application platforms. Expand
Hybrid recommender systems: A systematic literature review
TLDR
This systematic literature review presents the state of the art in hybrid recommender systems of the last decade and addresses the most relevant problems considered and present the associated data mining and recommendation techniques used to overcome them. Expand
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It is currently not possible to determine which recommendation approaches for academic literature recommendation are the most promising, but there is little value in the existence of more than 80 approaches if the best performing approaches are unknown. Expand
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