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Integrating Explicit and Implicit Feature Interactions for Online Ad Installation Forecasting

Published: 30 December 2023 Publication History

Abstract

We present our solution for the RecSys Challenge 2023 in this paper, which focuses on online advertising and deep funnel optimization, emphasizing user privacy. The dataset provided for the challenge includes user and ad features, as well as click and install information from the ShareChat apps. The objective is to predict the probabilities of ad installations in the test set. Our solution primarily leverages the xDeepFM model, which combines explicit and implicit feature interactions to capture complex relationships. Additionally, we employ various techniques such as feature engineering, feature crossing, cross-validation, and model integration to enhance the performance of our solution. Through extensive experimentation and fine-tuning, our team BUAA_BIGSCity achieved a score of 6.282142 in the final submission, demonstrating the effectiveness of our approach. To promote reproducibility and further research, our code is available on GitHub 1. This paper provides insights into our solution for this challenge, showcasing advancements in online advertising and deep funnel optimization.

References

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2023. RecSys Challenge 2023. http://www.recsyschallenge.com/2023/. Accessed: July 11, 2023.
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          cover image ACM Other conferences
          RecSysChallenge '23: Proceedings of the Recommender Systems Challenge 2023
          September 2023
          58 pages
          ISBN:9798400716133
          DOI:10.1145/3626221
          Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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          New York, NY, United States

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          Published: 30 December 2023

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          Author Tags

          1. Feature Interaction Models
          2. Online Ad Installation Forecasting
          3. Recommender Systems

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          RecSysChallenge '23
          RecSysChallenge '23: ACM RecSys Challenge 2023
          September 19, 2023
          Singapore, Singapore

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          Overall Acceptance Rate 11 of 15 submissions, 73%

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