V. Zhuzhel, V. Grabar, N. Kaploukhaya, R. Rivera-Castro, L. Mironova, A. Zaytsev, E. Burnaev
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引用次数: 0
Abstract
Identifying the right user to target is a common problem for different Internet platforms. Although numerous systems address this task, they are heavily tailored for specific environments and settings. It is challenging for practitioners to apply these findings to their problems. The reason is that most systems are designed for settings with millions of highly active users and with personal information, as is the case in social networks or other services with high virality. There exists a gap in the literature for systems that are for medium-sized data and where the only data available are the event sequences of a user. It motivates us to present Look-A-Liker (LAL) as an unsupervised deep cluster system. It uses temporal point processes to identify similar users for targeting tasks. We use data from the leading Internet marketplace for the gastronomic sector for experiments. LAL generalizes beyond proprietary data. Using event sequences of users, it is possible to obtain state-of-the-art results compared to novel methods such as Transformer architectures and multimodal learning. Our approach produces the up to 20% ROC AUC score improvement on real-world datasets from 0.803 to 0.959. Although LAL focuses on hundreds of thousands of sequences, we show how it quickly expands to millions of user sequences. We provide a fully reproducible implementation with code and datasets in https://github.com/adasegroup/sequence_clusterers.
期刊介绍：
Doklady Mathematics is a journal of the Presidium of the Russian Academy of Sciences. It contains English translations of papers published in Doklady Akademii Nauk (Proceedings of the Russian Academy of Sciences), which was founded in 1933 and is published 36 times a year. Doklady Mathematics includes the materials from the following areas: mathematics, mathematical physics, computer science, control theory, and computers. It publishes brief scientific reports on previously unpublished significant new research in mathematics and its applications. The main contributors to the journal are Members of the RAS, Corresponding Members of the RAS, and scientists from the former Soviet Union and other foreign countries. Among the contributors are the outstanding Russian mathematicians.
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