Learning to Persist: Exploring the Tradeoff Between Model Optimization and Experience Consistency-Reference-Cited by-同舟云学术

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Learning to Persist: Exploring the Tradeoff Between Model Optimization and Experience Consistency

Published:2021-04-19 Issue: Volume: Page:
ISSN:
Container-title:Companion Proceedings of the Web Conference 2021
language:
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Author:

Goldenberg Dmitri¹,Tsype Guy¹,Spivak Igor¹,Albert Javier¹,Tzur Amir¹

Affiliation:

1. Booking.com, Israel

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3442442.3452051

Reference18 articles.

1. Guidelines for Human-AI Interaction

2. Lucas Bernardi Pablo Estevez Matias Eidis and Eqbal Osama. 2020. Recommending Accommodation Filters with Online Learning. (2020). Lucas Bernardi Pablo Estevez Matias Eidis and Eqbal Osama. 2020. Recommending Accommodation Filters with Online Learning. (2020).

3. Optimization and Persistence

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1. E-Commerce Promotions Personalization via Online Multiple-Choice Knapsack with Uplift Modeling;Proceedings of the 31st ACM International Conference on Information & Knowledge Management;2022-10-17

2. Personalizing Benefits Allocation Without Spending Money;Sixteenth ACM Conference on Recommender Systems;2022-09-18

3. Report on the 11th international workshop on location and the web (LocWeb 2021) and the 11th temporal web analytics workshop (TempWeb2021) at WWW2021;ACM SIGIR Forum;2021-12

4. Putting the Role of Personalization into Context;Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval;2021-07-11

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