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Published in 2021 at "Applied Intelligence"
DOI: 10.1007/s10489-020-01820-2
Abstract: The sequences of users’ behaviors generally indicate their preferences, and they can be used to improve next-item prediction in sequential recommendation. Unfortunately, users’ behaviors may change over time, making it difficult to capture users’ dynamic…
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Keywords:
recommendation;
time;
next item;
model ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3164982
Abstract: Next-item recommendation has been a hot research, which aims at predicting the next action by modeling users' behavior sequences. While previous efforts toward this task have been made in capturing complex item transition patterns, we…
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Keywords:
item;
item recommendation;
term;
graph ... See more keywords