Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems-Reference-Cited by-同舟云学术

Model Size Reduction Using Frequency Based Double Hashing for Recommender Systems

Published:2020-09-22 Issue: Volume: Page:
ISSN:
Container-title:Fourteenth ACM Conference on Recommender Systems
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Author:

Zhang Caojin¹,Liu Yicun¹,Xie Yuanpu¹,Ktena Sofia Ira²,Tejani Alykhan²,Gupta Akshay²,Myana Pranay Kumar²,Dilipkumar Deepak¹,Paul Suvadip¹,Ihara Ikuhiro¹,Upadhyaya Prasang¹,Huszar Ferenc²,Shi Wenzhe²

Affiliation:

1. Twitter Inc., USA

2. Twitter Inc., UK

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3383313.3412227

Reference23 articles.

1. Wide & Deep Learning for Recommender Systems

2. Dartmouth College. 2018. Probability Calculations in Hashing. https://math.dartmouth.edu/archive/m19w03/public_html/Section6-5.pdf Dartmouth College. 2018. Probability Calculations in Hashing. https://math.dartmouth.edu/archive/m19w03/public_html/Section6-5.pdf

3. A Generalized Birthday Attack

4. The Architectural Implications of Facebook's DNN-Based Personalized Recommendation

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