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Interpretable Multimodal Retrieval for Fashion Products #14

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Basic Information

Authors: Lizi Liao, Xiangnan He, Bo Zhao, Chong-Wah Ngo, Tat-Seng Chua
Date: October 2018
Published By: MM '18: Proceedings of the 26th ACM international conference on Multimedia

Link

https://dl.acm.org/doi/10.1145/3240508.3240646

Overview

Built a system that enables interactive search by embedding features extracted by deep learning in a tree to improve interpretability.
By formulating the semantic similarity of items, the search intent can be interpreted more accurately than with a normal keyword search.

Others

Reference (for understanding)