Machine Learning Based recommendation system Using User-Item Interaction
- Title
- Machine Learning Based recommendation system Using User-Item Interaction
- Creator
- Akshay K.; Nair A.M.
- Description
- Electronic commerce, or e-commerce, is the activity of trading services and commodities through the internet. Identifying the item that the consumer may buy from the enormous number of possibilities accessible to solve this difficulty is now one of the key difficulties encountered by most E-commerce businesses. Recommender systems have been implemented. Recommender systems (RS) are systems that collect information from users about their preferences and allow them to make decisions from the available options. Today, various recommender systems are growing with the advent of web-based information. As you can see from various articles, such recommender systems are used in a variety of industries, from simple objects to more sophisticated objects.RS has gained popularity in the previous decade, particularly in the realm of E-Commerce and related sectors. This report aims to identify recent developments as well as their potential for improvement. It is intended to elaborate on a number of points. And also work more on user-item based recommendation. These types of user-item based recommendation will be more effective in fashion area. 2022 IEEE.
- Source
- 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 1745-1749.
- Date
- 2022-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Clustering; Collaborative Filtering; Content-based Filtering; Machine Learning; Movie Recommendation; User ratings
- Coverage
- Akshay K., Christ (Deemed to Be University), Lavasa Campus, Department of Data Science, Maharashtra, Pune, India; Nair A.M., Christ (Deemed to Be University), Lavasa Campus, Department of Data Science, Maharashtra, Pune, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-166543789-9
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Akshay K.; Nair A.M., “Machine Learning Based recommendation system Using User-Item Interaction,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/20283.