Session-Based Recommendations
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Benchmarks
Diginetica
yoochoose1/64
yoochoose1
yoochoose1/4
Last.FM
Retailrocket
Gowalla
Most implemented
Xception: Deep Learning with Depthwise Separable Convolutions
Session-based Recommendations with Recurrent Neural Networks
Recurrent Neural Networks with Top-k Gains for Session-based Recommendations
Session-based Recommendation with Graph Neural Networks
Session-aware Linear Item-Item Models for Session-based Recommendation
Papers
SemSR: Semantics aware robust Session-based Recommendations
Session-based recommendation (SR) models aim to recommend items to anonymous users based on their behavior during the current session. While various SR models in the literature utilize item sequences to predict the next …
Session-Based RecommendationsHierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
Session-based Recommendation (SBR) aims to predict the next item a user will likely engage with, using their interaction sequence within an anonymous session. Existing SBR models often focus only on single-session inform…
Contrastive LearningDenoisingSession-Based RecommendationsRethinking Contrastive Learning in Session-based Recommendation
Session-based recommendation aims to predict intents of anonymous users based on limited behaviors. With the ability in alleviating data sparsity, contrastive learning is prevailing in the task. However, we spot that exi…
Contrastive LearningSelf-Supervised LearningSession-Based RecommendationsA Survey on Side Information-driven Session-based Recommendation: From a Data-centric Perspective
Session-based recommendation is gaining increasing attention due to its practical value in predicting the intents of anonymous users based on limited behaviors. Emerging efforts incorporate various side information to al…
Session-Based RecommendationsSurveyLinear Item-Item Model with Neural Knowledge for Session-based Recommendation
Session-based recommendation (SBR) aims to predict users' subsequent actions by modeling short-term interactions within sessions. Existing neural models primarily focus on capturing complex dependencies for sequential it…
Session-Based RecommendationsDistilling Transitional Pattern to Large Language Models for Multimodal Session-based Recommendation
Session-based recommendation (SBR) predicts the next item based on anonymous sessions. Traditional SBR explores user intents based on ID collaborations or auxiliary content. To further alleviate data sparsity and cold-st…
Mutual Information EstimationSession-Based Recommendations