Fashion Recommendation System

Authors: Vinay Sahu, Divyani Makode, Ayushi Tarkasvar, Purvi Bisne, Garima Jhariya

Country: India

Full-text Research PDF File:   View   |   Download

Abstract: Personalized buying experiences on e-commerce websites, user-specific marketing, item classification, and color detection from photographs are all made possible by artificial intelligence. The methods used to forecast a person's rating of a product or social institution are called recommendation systems. Books, movies, dining establishments, and other things on which people have distinct tastes are examples of the objects. Two techniques are used to predict these preferences. First, a content-based strategy that takes into account an item's features; second, a collaborative filtering technique that assesses options based on previous user behavior. This thesis suggests a method for fashion image recommendations that takes into account the offered apparel photos' styles.

The user's clothing and, using a recommendation system, suggest the most appropriate outfit for the occasion. The suggested system demonstrates that it can analyze the user's attire from the photographs, determine the kind and color of the outfit, and then suggest the most appropriate clothing for the situation based on the user's current outfit.

Keywords: Recommdation System

Paper Id: 230052

Published On: 2023-02-25

Published In: Volume 11, Issue 1, January-February 2023

Cite This: Fashion Recommendation System - Vinay Sahu, Divyani Makode, Ayushi Tarkasvar, Purvi Bisne, Garima Jhariya - IJIRMPS Volume 11, Issue 1, January-February 2023.

Share this