AN INTELLIGENT APPAREL RECOMMENDATION SYSTEM FOR ONLINE SHOPPING USING STYLE CLASSIFICATION
@inproceedings{Perkinian2015ANIA, title={AN INTELLIGENT APPAREL RECOMMENDATION SYSTEM FOR ONLINE SHOPPING USING STYLE CLASSIFICATION}, author={C. Perkinian and P. Vikkraman}, year={2015} }
Managing and selecting proper clothes has long been a challenging problem especially in today’s world where people are always in hurry and hence most of the time they end up choosing to wear the same dressing styles or the same piece of clothes. In addition, the people tend to stick with one or two dressing styles and buy new clothes that are very similar to the ones they already have. This usually results in a huge waste of time and money. In this paper, we propose a new intelligent apparel…
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Apparel-based deep learning system design for apparel style recommendation
- Computer ScienceInternational Journal of Clothing Science and Technology
- 2019
The results indicate that adding the proposed ATTRIBUTE data that captures the deep features of clothes design does improve the model performances, and the new concept of apparel recommendation based on style meanings is technically applicable.
Recommendation Framework Combining User Interests with Fashion Trends in Apparel Online Shopping
- Computer ScienceApplied Sciences
- 2019
To overcome the rating sparsity problem of online apparel datasets, implicit ratings from user log data and predicted ratings for item clusters are derived and combined with a network constructed by an item click trend, which serves as a personalized recommendation through a random walk.
AN INTELLIGENT APPAREL RECOMMENDATION SYSTEM FOR ONLINE SHOPPING USING STYLE CLASSIFICATION
- Computer Science
- 2015
A new intelligent apparel recommendation system for online shopping using style classification that makes recommendations of clothes based on past and present sales data on different styles and is validated using opinion from questionnaires and experts.
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