Content Based Deep Factorization Framework for Scientific Article Recommender System
- Title
- Content Based Deep Factorization Framework for Scientific Article Recommender System
- Creator
- Nair A.M.; Anto O.; Shaji A.; George J.
- Description
- With the advancement in technology and the tremendous number of citations available in the digital libraries, it has become difficult for the research scholars to find a relevant set of reference papers. The accelerating rate of scientific publications results in the problem of information overload because of which the scholars spend their 70% of the time finding relevant papers. A citation recommendation system resolves the issue of spending a good amount of time and other resources for collecting a set of papers by providing the user with personalised recommendations of the articles. Existing state of art models do not take high-low order feature interactions into consideration, due to which the recommendations are not up to the desired level of performance. In this paper, we propose a content-based model which combines Deep Neural Network (DNN) and Factorization Machines (FM) where no pre-trainings are required for providing the citation recommendations. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
- Source
- Lecture Notes in Electrical Engineering, Vol-907, pp. 433-442.
- Date
- 2022-01-01
- Publisher
- Springer Science and Business Media Deutschland GmbH
- Subject
- Citation recommendation; Deep neural network; Factorization machines
- Coverage
- Nair A.M., Department of Computer Science, Christ University, Bangalore, India; Anto O., Department of Computer Science, Christ University, Bangalore, India; Shaji A., Department of Computer Science, Christ University, Bangalore, India; George J., Department of Computer Science, Christ University, Bangalore, India
- Rights
- Restricted Access
- Relation
- ISSN: 18761100; ISBN: 978-981194686-8
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Nair A.M.; Anto O.; Shaji A.; George J., “Content Based Deep Factorization Framework for Scientific Article Recommender System,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 28, 2025, https://archives.christuniversity.in/items/show/20226.