Recommendation Engine
Abstract & Details
Research Area
Machine Learning
Keywords
recommendation
machine learning
Abstract
Personalized product recommendations are the alternative way of navigating through the online shop. More people find products they need. Even if they didnt think of them. Build a recommendation engine which suggests similar products to the given product in any e-commerce websites ex. Amazon.com, myntra.com etc. The objective of this project is to build a recommendation engine that suggests relevant apparels to the given apparel and also give a flavour of machine learning. The recommendation engine, uses information about 1,80,000 products and each product will have multiple features named 1)Title of the product 2)Brand of the product 3)Color of the product 4)Type of the product 5)Image of the apparel. The data source for this project is amazon.com. The issues covered in this project are directly related to large amount of datasets. The main goal is to generate suggestions based on the data gathered.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Vijayalakshmi.K | SRM Institute Of Science and Technology |
| 2 | Nair Suraj Divakaran | SRM Institute Of Science and Technology |
| 3 | Abhishek Karki | SRM Institute Of Science and Technology |
| 4 | Sameer Kumar Singh | SRM Institute Of Science and Technology |
| 5 | Gajendra Singh | SRM Institute Of Science and Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Vijayalakshmi.K, Divakaran, Nair Suraj, Karki, Abhishek, Singh, Sameer Kumar, & Singh, Gajendra (2018). Recommendation Engine. International Journal of Advance Research and Innovative Ideas In Education, 4(2), 2203-2206.
MLA Style
Vijayalakshmi.K, et al. "Recommendation Engine." International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, 2018, pp. 2203-2206.
IEEE Style
Vijayalakshmi.K, Nair Suraj Divakaran, Abhishek Karki, Sameer Kumar Singh, and Gajendra Singh, "Recommendation Engine," International Journal of Advance Research and Innovative Ideas In Education, vol. 4, no. 2, pp. 2203-2206, 2018.
Vancouver Style
Vijayalakshmi.K, Divakaran Nair Suraj, Karki Abhishek, Singh Sameer Kumar, Singh Gajendra. Recommendation Engine. International Journal of Advance Research and Innovative Ideas In Education. 2018;4(2):2203-2206.
Harvard Style
Vijayalakshmi.K, Divakaran, Nair Suraj, Karki, Abhishek, Singh, Sameer Kumar, & Singh, Gajendra (2018) 'Recommendation Engine', International Journal of Advance Research and Innovative Ideas In Education, 4(2), pp. 2203-2206.
Chicago Style
Vijayalakshmi.K, et al. "Recommendation Engine." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 2203-2206.
Turabian Style
Vijayalakshmi.K, et al. "Recommendation Engine." International Journal of Advance Research and Innovative Ideas In Education 4, no. 2 (2018): 2203-2206.
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