:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Erjia, Wang, Bang
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	https://arxiv.org/abs/2403.18227
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CS3: Efficient Online Capability Synergy for Two-Tower Recommendation
by: Wang, Lixiang, et al.
Published: (2026)

CS3: Efficient Online Capability Synergy for Two-Tower Recommendation
by: Wang, Lixiang, et al.
Published: (2026)

RankTower: A Synergistic Framework for Enhancing Two-Tower Pre-Ranking Model
by: Yan, YaChen, et al.
Published: (2024)

ContextGNN: Beyond Two-Tower Recommendation Systems
by: Yuan, Yiwen, et al.
Published: (2024)

A Learnable Fully Interacted Two-Tower Model for Pre-Ranking System
by: Xiong, Chao, et al.
Published: (2025)

Suggest, Complement, Inspire: Story of Two Tower Recommendations at Allegro.com
by: Osowska-Kurczab, Aleksandra, et al.
Published: (2025)

Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model
by: Zhang, Luankang, et al.
Published: (2025)

HIT Model: A Hierarchical Interaction-Enhanced Two-Tower Model for Pre-Ranking Systems
by: Yang, Haoqiang, et al.
Published: (2025)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank (Extended Abstract)
by: Hager, Philipp, et al.
Published: (2025)

Understanding the Effects of the Baidu-ULTR Logging Policy on Two-Tower Models
by: de Haan, Morris, et al.
Published: (2024)

Unidentified and Confounded? Understanding Two-Tower Models for Unbiased Learning to Rank
by: Hager, Philipp, et al.
Published: (2025)

Unleashing the Potential of Two-Tower Models: Diffusion-Based Cross-Interaction for Large-Scale Matching
by: Wang, Yihan, et al.
Published: (2025)

OneTrans: Unified Feature Interaction and Sequence Modeling with One Transformer in Industrial Recommender
by: Zhang, Zhaoqi, et al.
Published: (2025)

OneRanker: Unified Generation and Ranking with One Model in Industrial Advertising Recommendation
by: Sun, Dekai, et al.
Published: (2026)

Multi-Tower Multi-Interest Recommendation with User Representation Repel
by: Xiong, Tianyu, et al.
Published: (2024)

OneRec-Think: In-Text Reasoning for Generative Recommendation
by: Liu, Zhanyu, et al.
Published: (2025)

One Model for All: Large Language Models are Domain-Agnostic Recommendation Systems
by: Tang, Zuoli, et al.
Published: (2023)

Disaggregated Multi-Tower: Topology-aware Modeling Technique for Efficient Large-Scale Recommendation
by: Luo, Liang, et al.
Published: (2024)

Scaling Recommender Transformers to One Billion Parameters
by: Khrylchenko, Kirill, et al.
Published: (2025)

Taming the One-Epoch Phenomenon in Online Recommendation System by Two-stage Contrastive ID Pre-training
by: Hsu, Yi-Ping, et al.
Published: (2025)

Leave No One Behind: Fairness-Aware Cross-Domain Recommender Systems for Non-Overlapping Users
by: Chen, Weixin, et al.
Published: (2025)

OneLive: Dynamically Unified Generative Framework for Live-Streaming Recommendation
by: Wang, Shen, et al.
Published: (2026)

Regret-aware Re-ranking for Guaranteeing Two-sided Fairness and Accuracy in Recommender Systems
by: Ye, Xiaopeng, et al.
Published: (2025)

GPR: Towards a Generative Pre-trained One-Model Paradigm for Large-Scale Advertising Recommendation
by: Zhang, Jun, et al.
Published: (2025)

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
by: Wang, Ye, et al.
Published: (2024)

OneMall: One Architecture, More Scenarios -- End-to-End Generative Recommender Family at Kuaishou E-Commerce
by: Zhang, Kun, et al.
Published: (2026)

One Model, Two Markets: Bid-Aware Generative Recommendation
by: Jiang, Yanchen, et al.
Published: (2026)

Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation
by: Wang, Hao, et al.
Published: (2025)

Maximum In-Support Return Modeling for Dynamic Recommendation with Language Model Prior
by: Chen, Xiaocong, et al.
Published: (2025)

OneRec: Unifying Retrieve and Rank with Generative Recommender and Iterative Preference Alignment
by: Deng, Jiaxin, et al.
Published: (2025)

Joint Modeling in Recommendations: A Survey
by: Zhao, Xiangyu, et al.
Published: (2025)

To Recommend or Not: Recommendability Identification in Conversations with Pre-trained Language Models
by: Wang, Zhefan, et al.
Published: (2024)

Diffusion Recommender Model
by: Wang, Wenjie, et al.
Published: (2023)

Contextual Distillation Model for Diversified Recommendation
by: Li, Fan, et al.
Published: (2024)

MiniOneRec: An Open-Source Framework for Scaling Generative Recommendation
by: Kong, Xiaoyu, et al.
Published: (2025)

Continuous-time Discrete-space Diffusion Model for Recommendation
by: Liu, Chengyi, et al.
Published: (2025)

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator
by: Yin, Jun, et al.
Published: (2024)

OnePiece: The Great Route to Generative Recommendation -- A Case Study from Tencent Algorithm Competition
by: Cao, Jiangxia, et al.
Published: (2025)

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation
by: Liu, Ziwei, et al.
Published: (2025)

Reinforced Prompt Personalization for Recommendation with Large Language Models
by: Mao, Wenyu, et al.
Published: (2024)