A Mobile Application for Interactive Exploratory Search of Apparel Products

Eriko Koike, Takayuki Itoh · 2016

Many people (especially women) tend to take relatively longer time for shopping, and therefore it is an interesting topic to develop enjoyable user interface for shopping. We discussed how to develop systems for apparel product retrieval inspired by psychology of women's shopping activity in our previous paper, and actually presented an implementation for personal computers. This paper presents a mobile application for apparel product shopping inheriting our previous study. The presented mobile application supports just three single-finger operations: tap, next, and shuffle. It shows pictures of products over and over while learning preferences of users applying interactive genetic algorithm. This paper presents the user interface design and processing flow of the presented application, and introduces our experiments.

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