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Recommendation Model Based on Expiry Date of Product Using Big Data Analytics
| Content Provider | Scilit |
|---|---|
| Author | Singh, Abhisekh Kumar Raja, Maheswari Hussain, Azath |
| Copyright Year | 2020 |
| Description | This chapter deals with the product recommendation scheme, depending on its expiry date through different methods such as content-based or collaborative filtering technique which is further split into product-based and user-based approaches. Thus, the final product which is advertised in the social media through different recommendation engine is targeted to the suitable customer, which will be well-enforced through different types of platform such as modes of statistics, testing analysis, regression model followed by ratings, and reviews of the customer. This recommendation system provides a substantial increase in a sale, which minimize the unsold expired products using data analytics estimating 60%–70% of progress. Book Name: Big Data Analytics in Supply Chain Management |
| Related Links | https://api.taylorfrancis.com/content/chapters/edit/download?identifierName=doi&identifierValue=10.1201/9780367816384-5&type=chapterpdf |
| Ending Page | 77 |
| Page Count | 13 |
| Starting Page | 65 |
| DOI | 10.1201/9780367816384-5 |
| Language | English |
| Publisher | Informa UK Limited |
| Publisher Date | 2020-12-17 |
| Access Restriction | Open |
| Subject Keyword | Book Name: Big Data Analytics in Supply Chain Management Immunology Recommendation Product Expiry Date Based and User Analytics |
| Content Type | Text |
| Resource Type | Chapter |