The unique characteristics of product search make search personalization essential for both customers and e-shopping companies. In this work, we propose a hierarchical embedding model to learn semantic representations for entities (i.e. words, products, users and queries) from different levels with their associated language data. [SIGIR'17] [code] [data] |
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