Real-time Personalization using Embeddings for Search Ranking at Airbnb

Author:

Grbovic Mihajlo1,Cheng Haibin1

Affiliation:

1. Airbnb, Inc., San Francisco, CA, USA

Publisher

ACM

Reference29 articles.

1. Kamelia Aryafar Devin Guillory and Liangjie Hong. 2016. An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. In arXiv preprint arXiv:1711.01377. 10.1145/3124749.3124758 Kamelia Aryafar Devin Guillory and Liangjie Hong. 2016. An Ensemble-based Approach to Click-Through Rate Prediction for Promoted Listings at Etsy. In arXiv preprint arXiv:1711.01377. 10.1145/3124749.3124758

2. Ricardo Baeza-Yates Berthier Ribeiro-Neto etal 1999. Modern information retrieval. Vol. 463. ACM press New York. Ricardo Baeza-Yates Berthier Ribeiro-Neto et al. 1999. Modern information retrieval. Vol. 463. ACM press New York.

3. ITEM2VEC: Neural item embedding for collaborative filtering

4. Ting Chen Liangjie Hong Yue Shi and Yizhou Sun. 2017. Joint Text Embedding for Personalized Content-based Recommendation. In arXiv preprint arXiv:1706.01084. Ting Chen Liangjie Hong Yue Shi and Yizhou Sun. 2017. Joint Text Embedding for Personalized Content-based Recommendation. In arXiv preprint arXiv:1706.01084.

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