Copertina

Session-level Normalization and Click-through Data Enhancement for Session-based Evaluation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Haonan, Dou, Zhicheng, Mao, Jiaxin
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Information Retrieval
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Query-oriented Data Augmentation for Session Search
di: Chen, Haonan, et al.
Pubblicazione: (2024)

Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding
di: Cheng, Yiruo, et al.
Pubblicazione: (2024)

ConvSDG: Session Data Generation for Conversational Search
di: Mo, Fengran, et al.
Pubblicazione: (2024)

Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation
di: Chen, Haonan, et al.
Pubblicazione: (2024)

Curriculum Approximate Unlearning for Session-based Recommendation
di: Yang, Liu, et al.
Pubblicazione: (2025)

Multi-intent-aware Session-based Recommendation
di: Choi, Minjin, et al.
Pubblicazione: (2024)

Rethinking Contrastive Learning in Session-based Recommendation
di: Zhang, Xiaokun, et al.
Pubblicazione: (2025)

Contrastive Pre-training for Deep Session Data Understanding
di: Li, Zixuan, et al.
Pubblicazione: (2024)

Knowledge Graph-based Session Recommendation with Adaptive Propagation
di: Wang, Yu, et al.
Pubblicazione: (2024)

SessionRec: Next Session Prediction Paradigm For Generative Sequential Recommendation
di: Huang, Lei, et al.
Pubblicazione: (2025)

Graph and Sequential Neural Networks in Session-based Recommendation: A Survey
di: Li, Zihao, et al.
Pubblicazione: (2024)

Spatio-Temporal Contrastive Learning Enhanced GNNs for Session-based Recommendation
di: Wan, Zhongwei, et al.
Pubblicazione: (2022)

A Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
di: Zhang, Xiaokun, et al.
Pubblicazione: (2025)

Guided Diffusion-based Counterfactual Augmentation for Robust Session-based Recommendation
di: Gupta, Muskan, et al.
Pubblicazione: (2024)

Side Information-Driven Session-based Recommendation: A Survey
di: Zhang, Xiaokun, et al.
Pubblicazione: (2024)

Unsupervised Graph Embeddings for Session-based Recommendation with Item Features
di: Peintner, Andreas, et al.
Pubblicazione: (2025)

Recommendation Algorithm Based on Recommendation Sessions
di: Malinowski, Michał
Pubblicazione: (2024)

Enhancing Attributed Graph Networks with Alignment and Uniformity Constraints for Session-based Recommendation
di: Zhao, Xinping, et al.
Pubblicazione: (2024)

Recommending Target Actions Outside Sessions in the Data-poor Insurance Domain
di: Bruun, Simone Borg, et al.
Pubblicazione: (2024)

Implementation of Recommendation Algorithm based on Recommendation Sessions in E-commerce IT System
di: Malinowski, Michał
Pubblicazione: (2024)

Linear Item-Item Model with Neural Knowledge for Session-based Recommendation
di: Choi, Minjin, et al.
Pubblicazione: (2025)

Prospective Preference Enhanced Mixed Attentive Model for Session-based Recommendation
di: Peng, Bo, et al.
Pubblicazione: (2022)

SPAR: Session-based Pipeline for Adaptive Retrieval on Legacy File Systems
di: Nguyen, Duy A., et al.
Pubblicazione: (2025)

Unleashing the Potential of Neighbors: Diffusion-based Latent Neighbor Generation for Session-based Recommendation
di: Yang, Yuhan, et al.
Pubblicazione: (2026)

SPRINT: Scalable and Predictive Intent Refinement for LLM-Enhanced Session-based Recommendation
di: Lee, Gyuseok, et al.
Pubblicazione: (2025)

Explainable Session-based Recommendation via Path Reasoning
di: Cao, Yang, et al.
Pubblicazione: (2024)

Disentangling ID and Modality Effects for Session-based Recommendation
di: Zhang, Xiaokun, et al.
Pubblicazione: (2024)

Performance Comparison of Session-based Recommendation Algorithms based on GNNs
di: Shehzad, Faisal, et al.
Pubblicazione: (2023)

Session-Based Recommendation by Exploiting Substitutable and Complementary Relationships from Multi-behavior Data
di: Wu, Huizi, et al.
Pubblicazione: (2023)

Integrating LLM-Derived Multi-Semantic Intent into Graph Model for Session-based Recommendation
di: Zhang, Shuo, et al.
Pubblicazione: (2025)

Qilin: A Multimodal Information Retrieval Dataset with APP-level User Sessions
di: Chen, Jia, et al.
Pubblicazione: (2025)

SemSR: Semantics aware robust Session-based Recommendations
di: Narwariya, Jyoti, et al.
Pubblicazione: (2025)

SimEval-IR: A Unified Toolkit and Benchmark Suite for Evaluating User Simulators and Search Sessions
di: Zerhoudi, Saber
Pubblicazione: (2026)

Enhancing Healthcare Search Intent Recognition with Query Representation Learning and Session Context
di: Sahijwani, Harshita Jagdish, et al.
Pubblicazione: (2026)

Enhancing ID and Text Fusion via Alternative Training in Session-based Recommendation
di: Li, Juanhui, et al.
Pubblicazione: (2024)

Multi-view Intent Learning and Alignment with Large Language Models for Session-based Recommendation
di: Qiao, Shutong, et al.
Pubblicazione: (2024)

Distilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation
di: Su, Jiajie, et al.
Pubblicazione: (2025)

Similarity-Based Supervised User Session Segmentation Method for Behavior Logs
di: Jin, Yongzhi, et al.
Pubblicazione: (2025)

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

Item Cluster-aware Prompt Learning for Session-based Recommendation
di: Yang, Wooseong, et al.
Pubblicazione: (2024)