Personal-Agent Mediated Recommendation with Cross-Platform User History

Personal-agent mediated recommendation balances cross-platform user history against platform rankings via the MediateRec benchmark and PAMO optimization to improve rescue-harm trade-offs.

Yu Xia, Jiangfan Zhang, Jun Xiao, Julian McAuley and 1 more

Published Oct 6, 2026 · ▲ 3 on Hugging Face

RecLM: Recommendation Instruction Tuning

RecLM integrates large language models with collaborative filtering via instruction tuning and a reinforcement learning reward to enhance recommendation performance, especially for sparse and zero-shot settings.

Yangqin Jiang, Yuhao Yang, Lianghao Xia, Da Luo and 2 more

Published Dec 26, 2024 · 0 citations · Code ★ 111

Automatic Marketing Theme and Commodity Construction System for E-commerce

An automatic system constructs marketing themes and commodities for e-commerce platforms.

Zhiping Wang, Peng Lin, Hainan Zhang, Hongshen Chen and 4 more

Published 2023 · 0 citations

Full-Sequence Masked Diffusion for Generative Recommendation

Lei Chen, Wei Zibo

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

PreDiff: Sequential Recommendation by Denoising Preference Distributions

Yaoqi Chen, Jianjin Zhang, Qi Chen, Weihao Han and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

Beyond IPS: Reliable Counterfactual Evaluation in Multi-Stage Ad Systems without Logged Propensities

Mohsen Malmir, Mohamed A Radwan, houssam nassif, Murat Bayir

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

ARES: How Reliable Are LLM User Simulators for Recommender A/B Testing?

Hongyang Su, Beibei Kong, Lei Cheng, Chengxiang Zhuo and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

MARS: Multi-resolution Adaptive Routing for Sequential Recommendation

Ming Yin, Sixun Dong, Yudong Liu, Wenyun Yang and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

KuaiRecV2: Benchmarking Large-Scale Continual Learning for Diversified and Multi-task Recommendation

Chenxu Li, Shuchang Liu, Hantao Shu, Wei Yuan and 14 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Beyond the Full Slate: Evaluating MNL Algorithms on All Slates

Flavio Chierichetti, Mirko Giacchini, Ravi Kumar, Silvio Lattanzi and 3 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

SituRecBench: A Benchmark for Situated Recommendation in 3D Interactive Environments

Jingtong Yang, Dongding LIN, Jian Wang, Wenjie Li

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

ALIGN-Rec: Continual Recommendation under Heterogeneous Unlearning Requests

Nitin Bisht, Sumit Bisht, Tong Zhang, Yu Yang and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Bridging Textual Profiles and Latent User Embeddings for Personalization

BLUE aligns interpretable LLM-generated user profiles with embedding-based recommendation objectives via reinforcement learning, outperforming baselines in sequential recommendation and cross-domain transfer.

Zhaoxuan Tan, Xiang Zhai, Yan Zhu, Meng Jiang and 1 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

Causal Representation Learning for Generalisable Recommendation

A causal disentanglement objective improves recommender out-of-distribution generalization by isolating invariant causal components, yielding substantial online engagement gains in Spotify A/B tests.

Yorgos Felekis, Michael O'Riordan, Oriol Corcoll Andreu, Ciarán Gilligan-Lee

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence

UxSID captures target-aware preferences via semantic-group shared interest memory and dual-level attention, achieving state-of-the-art results and 0.337% revenue lift.

Hongwei Zhang, qiqiang zhong, Jiangxia Cao, Junfeng Shu and 7 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

Controllable and Content Based Recommendations

CCBR builds recommendations from textual user profiles via content-derived text bottlenecks, enabling controllable multimodal steering with competitive accuracy across image, audio, and video datasets.

Firat Oncel, Jihoon Jeong, Emiliano Penaloza, Mirco Ravanelli and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

TRACE: Tourism Recommendation with Accountable Citation Evidence

TRACE introduces tourism dialogues pairing multi-turn recommendations with review citations and rejection turns to expose the Three-Competency Gap across accuracy, grounding, and recovery.

Zixu Zhao, SIJIN WANG, Yu Hou, YUANYUAN XU and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

ModelLens: Finding the Best for Your Task from Myriads of Models

ModelLens learns a latent space over model-dataset-metric tuples from noisy leaderboard data to rank unseen models on unseen datasets without target evaluation, improving routing by up to 81%.

Rui Cai, Wenjie Mo, Xiaofei Wen, Qiyao Ma and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 14 on Hugging Face · Code ★ 130

What Gets Measured Gets Managed: Sign-aware Recommendation Needs Sign-aware Evaluation

Sign-aware recommender systems embed valence but rank blindly, hidden by metrics that ignore disliked items; proposed signed metrics expose poor valence protection and provide trainable fixes.

Minchan Kim, Jungmin Hwang, Hyunwoo Park

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026