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Using Text Embedding Algorithms in Recomm. Systems

3,212 views · Published 5 July 2018 · 43:59 · Indexed 20 October 2026

Channel: WeAreDevelopers · 2018 · Science & Technology

In this session, Simon Stiebellehner explains that text embedding algorithms are not only of great value for typical NLP problems involving text. Surprisingly, word2vec also beats state-of-the-art models in a variety of recommendation tasks. Moreover, its efficiency is of particularly great value for practitioners who often deal with large amounts of users and items, for instance in an online shop setting.

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Using Text Embedding Algorithms in Recomm. Systems

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