Addressing the Item Cold-start Problem by Attribute-driven Active
Learning

Addressing the Item Cold-start Problem by Attribute-driven Active Learning

23 May 2018

Papers citing "Addressing the Item Cold-start Problem by Attribute-driven Active Learning"

10 / 10 papers shown

Title
Efficient Data Selection for Training Genomic Perturbation Models G. Panagopoulos J. Lutzeyer Sofiane Ennadir Michalis Vazirgiannis Jun Pang 204 0 0 18 Mar 2025
A Contrastive Framework with User, Item and Review Alignment for Recommendation Hoang V. Dong Yuan Fang Hady W. Lauw 42 2 0 21 Jan 2025
Perception Without Vision for Trajectory Prediction: Ego Vehicle Dynamics as Scene Representation for Efficient Active Learning in Autonomous Driving Ross Greer Mohan M. Trivedi 34 2 0 15 May 2024
Direct Acquisition Optimization for Low-Budget Active Learning Zhuokai Zhao Yibo Jiang Yuxin Chen 39 1 0 08 Feb 2024
A Survey on Dropout Methods and Experimental Verification in Recommendation Yong Li Weizhi Ma C. L. Philip Chen Hao Fei Yiqun Liu Shaoping Ma Yue Yang 33 9 0 05 Apr 2022
GIFT: Graph-guIded Feature Transfer for Cold-Start Video Click-Through Rate Prediction Sihao Hu Yihan Cao Yu Gong Zhao Li Yazheng Yang Qingwen Liu S. Ji 30 11 0 21 Feb 2022
Learning to Learn a Cold-start Sequential Recommender Xiaowen Huang Jitao Sang Jian Yu Changsheng Xu DiffM CLL OffRL 24 22 0 18 Oct 2021
Reenvisioning Collaborative Filtering vs Matrix Factorization Vito Walter Anelli Alejandro Bellogín Tommaso Di Noia Claudio Pomo 16 26 0 28 Jul 2021
Productivity, Portability, Performance: Data-Centric Python Yiheng Wang Yao Zhang Yanzhang Wang Yan Wan Jiao Wang Zhongyuan Wu Yuhao Yang Bowen She 54 95 0 01 Jul 2021
Query-based Interactive Recommendation by Meta-Path and Adapted Attention-GRU Yu Zhu Yu Gong Qingwen Liu Yingcai Ma Wenwu Ou Junxiong Zhu Beidou Wang Ziyu Guan Deng Cai LRM 16 15 0 24 Jun 2019