Cover Image

INTERPOS: Interaction Rhythm Guided Positional Morphing for Mobile App Recommender Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Maqbool, M. H., Fereidouni, Moghis, Farooq, Umar, Siddique, A. B., Foroosh, Hassan
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions
by: Chhetri, Vinaik, et al.
Published: (2025)

Understanding Robustness of Model Editing in Code LLMs
by: Chhetri, Vinaik, et al.
Published: (2025)

Anchored Alignment: Preventing Positional Collapse in Multimodal Recommender Systems
by: Jeong, Yonghun, et al.
Published: (2026)

PCR-CA: Parallel Codebook Representations with Contrastive Alignment for Multiple-Category App Recommendation
by: Tan, Bin, et al.
Published: (2025)

MobileConvRec: A Conversational Dataset for Mobile Apps Recommendations
by: Maji, Srijata, et al.
Published: (2024)

EDGE-Rec: Efficient and Data-Guided Edge Diffusion For Recommender Systems Graphs
by: Priyam, Utkarsh, et al.
Published: (2024)

Context Features Are Cheap: Rank-Aware Decomposition for Efficient Feature Interaction in Recommender Systems
by: Tkach, Yevgeny
Published: (2026)

Debiased Model-based Interactive Recommendation
by: Li, Zijian, et al.
Published: (2024)

SPGL: Enhancing Session-based Recommendation with Single Positive Graph Learning
by: Liang, Tiantian, et al.
Published: (2024)

Continual Recommender Systems
by: Yoo, Hyunsik, et al.
Published: (2025)

Position Paper: Why the Shooting in the Dark Method Dominates Recommender Systems Practice; A Call to Abandon Anti-Utopian Thinking
by: Rohde, David
Published: (2024)

PolyRecommender: A Multimodal Recommendation System for Polymer Discovery
by: Wang, Xin, et al.
Published: (2025)

Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
by: Wang, Yuyan, et al.
Published: (2024)

Dataset-Agnostic Recommender Systems
by: Wijaya, Tri Kurniawan, et al.
Published: (2025)

System-2 Recommenders: Disentangling Utility and Engagement in Recommendation Systems via Temporal Point-Processes
by: Agarwal, Arpit, et al.
Published: (2024)

One Pass, Any Order: Position-Invariant Listwise Reranking for LLM-Based Recommendation
by: Bito, Ethan, et al.
Published: (2026)

Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems
by: Arviv, Dor, et al.
Published: (2025)

Policy-Guided Causal State Representation for Offline Reinforcement Learning Recommendation
by: Wang, Siyu, et al.
Published: (2025)

ProReco: A Process Discovery Recommender System
by: Huang, Tsung-Hao, et al.
Published: (2025)

Evaluation on Entity Matching in Recommender Systems
by: Huang, Zihan, et al.
Published: (2026)

The Unreasonable Effectiveness of Data for Recommender Systems
by: Abdou, Youssef
Published: (2026)

Tweedie Regression for Video Recommendation System
by: Zheng, Yan, et al.
Published: (2025)

Co-clustering for Federated Recommender System
by: He, Xinrui, et al.
Published: (2024)

The Potential of AutoML for Recommender Systems
by: Vente, Tobias, et al.
Published: (2024)

Neural Click Models for Recommender Systems
by: Shirokikh, Mikhail, et al.
Published: (2024)

Generalized Embedding Machines for Recommender Systems
by: Yang, Enneng, et al.
Published: (2020)

Avoiding Over-Personalization with Rule-Guided Knowledge Graph Adaptation for LLM Recommendations
by: Spadea, Fernando, et al.
Published: (2025)

Learning to Collaborate via Structures: Cluster-Guided Item Alignment for Federated Recommendation
by: Tu, Yuchun, et al.
Published: (2026)

Modeling Attrition in Recommender Systems with Departing Bandits
by: Ben-Porat, Omer, et al.
Published: (2022)

Understanding Distribution Structure on Calibrated Recommendation Systems
by: da Silva, Diego Correa, et al.
Published: (2025)

The Environmental Impact of Ensemble Techniques in Recommender Systems
by: Nitschke, Jannik
Published: (2025)

Measuring Recency Bias In Sequential Recommendation Systems
by: Oh, Jeonglyul, et al.
Published: (2024)

Incentive-Aware Recommender Systems in Two-Sided Markets
by: Dai, Xiaowu, et al.
Published: (2022)

Enhancing Recommendation Systems with GNNs and Addressing Over-Smoothing
by: Liu, Wenyi, et al.
Published: (2024)

Towards Principled Learning for Re-ranking in Recommender Systems
by: Li, Qunwei, et al.
Published: (2025)

Does Weighting Improve Matrix Factorization for Recommender Systems?
by: Ayoub, Alex, et al.
Published: (2025)

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

e-Fold Cross-Validation for Recommender-System Evaluation
by: Baumgart, Moritz, et al.
Published: (2024)

Understanding Fairness in Recommender Systems: A Healthcare Perspective
by: Kecki, Veronica, et al.
Published: (2024)

Creator-Side Recommender System: Challenges, Designs, and Applications
by: Chen, Xiaoshuang, et al.
Published: (2025)