The week's pick
Reseach Article
PC Configuration and Component Recommendation System
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 11 |
| Year of Publication: 2021 |
| Authors: Someshkumar Mishra, Shreyas Bane, Rahul Pandit, Neelam Phadnis |
10.5120/ijca2021921411
|
Someshkumar Mishra, Shreyas Bane, Rahul Pandit, Neelam Phadnis . PC Configuration and Component Recommendation System. International Journal of Computer Applications. 183, 11 ( Jun 2021), 5-8. DOI=10.5120/ijca2021921411
Abstract
Recommendation Systems are created to recommend appropriate products to users from a collection of products with various complex attributes. Personal Computers have an assortment of components that vary incompatibility with each other. Due to the large number of possible configurations and parameters to consider, it is difficult for laymen to try making their configurations. It is also difficult to compare which components are similar to each other. This paper presents a recommendation system for these components using collaborative filtering.
References
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- M. Gupta, A. Thakkar, Aashish, V. Gupta and D. P. S. Rathore, "Movie Recommender System Using Collaborative Filtering," 2020 International Conference on Electronics and Sustainable Communication Systems (ICESC), Coimbatore, India, 2020, pp. 415-420, doi: 10.1109/ICESC48915.2020.915
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