@inproceedings{0b89f590598b4dc0888e85c4802f99f7,
title = "Context Preserving Data Augmentation for Sequential Recommendation",
keywords = "Context, Data augmentation, Recommender systems, Sequential recommendation, Transformers",
author = "Benjamin Amankwata and Fletcher, \{Kenneth K.\}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 19th International Conference on Services Computing, SCC 2022, held as part of the Services Conference Federation, SCF 2022 ; Conference date: 10-12-2022 Through 14-12-2022",
year = "2022",
doi = "10.1007/978-3-031-23515-3\_3",
language = "English",
isbn = "9783031235146",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "26--40",
editor = "Wang Qingyang and Liang-Jie Zhang",
booktitle = "Services Computing – SCC 2022 - 19th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Proceedings",
}