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Learning Latent Vector Spaces for Product Search
Proceedings of the 25th ACM International on Conference on Information and Knowledge Management, (2016): 165-174
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We introduce a novel latent vector space model that jointly learns the latent representations of words, e-commerce products and a mapping between the two without the need for explicit annotations. The power of the model lies in its ability to directly model the discriminative relation between products and a particular word. We compare our...More
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