<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Yingpeng Du</style></author><author><style face="normal" font="default" size="100%">Ziyan Wang</style></author><author><style face="normal" font="default" size="100%">Zhu Sun</style></author><author><style face="normal" font="default" size="100%">Yining Ma</style></author><author><style face="normal" font="default" size="100%">Hongzhi Liu</style></author><author><style face="normal" font="default" size="100%">Zhang, Jie</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Disentangled Multi-interest Representation Learning for Sequential Recommendation</style></title><secondary-title><style face="normal" font="default" size="100%">Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2024, Barcelona, Spain, August 25-29, 2024</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2024</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1145/3637528.3671800</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">ACM</style></publisher><pages><style face="normal" font="default" size="100%">677–688</style></pages><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>