ENCODE models long-term user behavior by offline clustering of the full behavior sequence into interests and online matching of those interests to target items, claiming better efficiency and accuracy than existing methods.
Lifelong sequential modeling with personalized memorization for user response prediction
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ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling
ENCODE models long-term user behavior by offline clustering of the full behavior sequence into interests and online matching of those interests to target items, claiming better efficiency and accuracy than existing methods.