Choice-Aware User Engagement Modeling andOptimization on Social Media

• URL: http://arxiv.org/abs/2104.00801v1
• Date: Thu, 1 Apr 2021 23:31:01 GMT
• Title: Choice-Aware User Engagement Modeling andOptimization on Social Media
• Authors: Saketh Reddy Karra and Theja Tulabandhula
• Abstract summary: We formulate the engagement forecasting task as a multi-label classification problem. We propose a neural network architecture that incorporates user engagement history and predicts choice conditional on this context. We study the impact of recommend-ing tweets on engagement outcomes by solving an appropriately defined sweet optimization problem.
• Score: 0.9944647907864257
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We address the problem of maximizing user engagement with content (in the form of like, reply, retweet, and retweet with comments)on the Twitter platform. We formulate the engagement forecasting task as a multi-label classification problem that captures choice behavior on an unsupervised clustering of tweet-topics. We propose a neural network architecture that incorporates user engagement history and predicts choice conditional on this context. We study the impact of recommend-ing tweets on engagement outcomes by solving an appropriately defined sweet optimization problem based on the proposed model using a large dataset obtained from Twitter.

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