• ALLA SRI SWARNA DEVI
• ARCHANA RAGHUVAMSHI

Nowadays, the internet has been well known as a big data repository consisting of a variety of data types as well as large amount of unseen informative knowledge which can be discovered via a wide range of data mining or machine learning models. Although the development of e-commerce markets results in likely development of search engines, users are still facing a problem with accurate results. Instead, to achieve this problem recommendation engines are most helpful. Most e-commerce sites are developing recommendation systems analyze a large amount of transaction data without having any idea of what the items in the transactions mean or what they say about the customers who purchased or browsed items. Apparel fashion recommendation engine that utilizes deep convolutional neural networks using Amazon API to suggest products and provide customers with information to help them find the products. Utilizing deep neural networks enable us to parse such images into a high dimensional feature representation that allows us to recommend a pair from user preference tensor.

Neural networks, Recommendation systems, Apparel, Machine learning, Content-based recommendation system, Collaborative recommendation system, Hybrid recommendation system.

"EXPLORATION OF APPAREL RECOMMENDATION SYSTEMS USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 12, page no.41-44, December-2018, Available :http://www.jetir.org/papers/JETIR1812408.pdf

"EXPLORATION OF APPAREL RECOMMENDATION SYSTEMS USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 12, page no. pp41-44, December-2018, Available at : http://www.jetir.org/papers/JETIR1812408.pdf