UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction | Paper Citation Record

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This paper cites Bruce Croft.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Bruce Croft

Reference 1

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This paper cites LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction LONGER: Scaling Up Long Sequence Modeling in Industrial Recommenders

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This paper cites RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction RankUp: Towards High-rank Representations for Large Scale Advertising Recommender Systems

Reference 5

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Unresolved cited work

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This paper cites Cheng, Y.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Cheng, Y

Reference 7

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This paper cites Fu, Stefano Ermon, Atri Rudra, and Christopher Ré.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Fu, Stefano Ermon, Atri Rudra, and Christopher Ré

Reference 9

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This paper cites On Ranking Consistency of Pre-ranking Stage.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction On Ranking Consistency of Pre-ranking Stage

Reference 15

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This paper cites Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems

Reference 16

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This paper cites Gaussian Error Linear Units (GELUs).

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Gaussian Error Linear Units (GELUs)

Reference 21

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This paper cites MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders.

UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction MixFormer: Co-Scaling Up Dense and Sequence in Industrial Recommenders

Reference 23

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction GraphFM: Graph Factorization Machines for Feature Interaction Modeling

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Muon is Scalable for LLM Training

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction LaProp: Separating Momentum and Adaptivity in Adam

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Decoupled Weight Decay Regularization

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Mish: A Self Regularized Non-Monotonic Activation Function

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Deep Learning Recommendation Model for Personalization and Recommendation Systems

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction A Content-Driven Micro-Video Recommendation Dataset at Scale

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Tencent Advertising Algorithm Challenge 2025: All-Modality Generative Recommendation

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Training Deep Learning Models with Norm-Constrained LMOs

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction In2016 IEEE 16th International Conference on Data Mining (ICDM)

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Reference 90

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction InProceedings of the 1st Workshop on Deep Learning for Recommender Systems

Reference 2016

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction InProceedings of the 26th International Joint Conference on Artificial Intelligence

Reference 2017

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction Advances in Neural Information Processing Systems32 (2019)

Reference 2019

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction COLD: Towards the Next Generation of Pre-Ranking System

Reference 2020

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UniRank: Benchmarking Ranking Models for Unified Sequential Modeling and Feature Interaction InProceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Reference 2021

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Observation 4f136fcf-e93d-4753-bfa1-bd40610cfb4f · outbound

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Reference 2022

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Pith citing papers