A multi-preference integrated algorithm for deep learning based recommender framework
- Title
- A multi-preference integrated algorithm for deep learning based recommender framework
- Creator
- Jaishankar B.; Naveen J.; Marimuthu B.; Jayabalan B.; Mathivanan M.
- Description
- Nowadays, the online recommender systems based collaborative filtering methods are widely employed to model long term user preferences (LTUP). The deep learning methods, like recurrent neural networks (RNN) have the potential to model short-term user preferences (STUP). There is no dynamic integration of these two models in the existing recommender systems. Therefore, in this article, a multi-preference integrated algorithm (MPIA) for deep learning based recommender framework (DLRF) is proposed to perform the dynamic integration of these two models. Moreover, the MPIA addresses improper data and to improve the performance for creating recommendations. This algorithm is depending on an enhanced long short term memory (LSTM) with additional controllers to consider relative information. Here, experiments are carried out by Amazon benchmark datasets, then obtained outcomes are compared with other existing recommender systems. From the comparison, the experimental outcomes show that the proposed MPIA outperforms existing systems under performance metrics, like area under curve, F1-score. Consequently, the MPIA can be integrated with real time recommender systems. 2022 John Wiley & Sons, Ltd.
- Source
- Concurrency and Computation: Practice and Experience, Vol-34, No. 25
- Date
- 2022-01-01
- Publisher
- John Wiley and Sons Ltd
- Subject
- collaborative filtering; deep learning; long term preferences; recommender systems; short-term preferences
- Coverage
- Jaishankar B., Department of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Coimbatore, India; Naveen J., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Marimuthu B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Jayabalan B., Department of MCA, School of CS & IT, JAIN (Deemed to be University), Bengaluru, India; Mathivanan M., Department of Electronics and Communication Engineering, ACS College of Engineering, Karnataka, Bengaluru, India
- Rights
- Restricted Access
- Relation
- ISSN: 15320626; CODEN: CCPEB
- Format
- Online
- Language
- English
- Type
- Article
Collection
Citation
Jaishankar B.; Naveen J.; Marimuthu B.; Jayabalan B.; Mathivanan M., “A multi-preference integrated algorithm for deep learning based recommender framework,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 25, 2025, https://archives.christuniversity.in/items/show/14855.