FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation

24 February 2025

Papers citing "FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation"

6 / 6 papers shown

Title
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL Zijin Hong Zheng Yuan Qinggang Zhang Hao Chen Junnan Dong Feiran Huang Xiao Huang 95 62 0 12 Jun 2024
Recommender Systems in the Era of Large Language Models (LLMs) Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei ... Zhen Wen Fei Wang Xiangyu Zhao Jiliang Tang Qing Li KELM 76 324 0 05 Jul 2023
Alleviating Cold-start Problem in CTR Prediction with A Variational Embedding Learning Framework Xiaoxiao Xu Chen Yang Qian Yu Zhiwei Fang Jiaxing Wang Chaosheng Fan Yang He Changping Peng Zhangang Lin Jingping Shao CML 33 27 0 17 Jan 2022
LoRA: Low-Rank Adaptation of Large Language Models J. E. Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Lu Wang Weizhu Chen OffRL AI4TS AI4CE ALM AIMat 149 9,946 0 17 Jun 2021
Warm Up Cold-start Advertisements: Improving CTR Predictions via Learning to Learn ID Embeddings Feiyang Pan Shuokai Li Xiang Ao Pingzhong Tang Qing He 31 186 0 25 Apr 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 278 129,831 0 12 Jun 2017