research
∙
08/23/2023
LLMRec: Benchmarking Large Language Models on Recommendation Task
Recently, the fast development of Large Language Models (LLMs) such as C...
share
research
∙
08/18/2023
Attention Calibration for Transformer-based Sequential Recommendation
Transformer-based sequential recommendation (SR) has been booming in rec...
research
∙
04/27/2023
Rumor Detection with Hierarchical Representation on Bipartite Adhoc Event Trees
The rapid growth of social media has caused tremendous effects on inform...
research
∙
04/15/2023
Medical Question Summarization with Entity-driven Contrastive Learning
By summarizing longer consumer health questions into shorter and essenti...
research
∙
02/04/2023
Neural Time Series Analysis with Fourier Transform: A Survey
Recently, Fourier transform has been widely introduced into deep neural ...
research
∙
01/31/2023
A Counterfactual Collaborative Session-based Recommender System
Most session-based recommender systems (SBRSs) focus on extracting infor...
research
∙
01/27/2023
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective
Multivariate time series (MTS) forecasting has penetrated and benefited ...
research
∙
09/07/2022
A Systematical Evaluation for Next-Basket Recommendation Algorithms
Next basket recommender systems (NBRs) aim to recommend a user's next (s...
research
∙
09/01/2022
An Ion Exchange Mechanism Inspired Story Ending Generator for Different Characters
Story ending generation aims at generating reasonable endings for a give...
research
∙
07/29/2022
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Image Segmentation
Automatic tumor or lesion segmentation is a crucial step in medical imag...
research
∙
05/22/2022
Sequential/Session-based Recommendations: Challenges, Approaches, Applications and Opportunities
In recent years, sequential recommender systems (SRSs) and session-based...
research
∙
01/29/2022
Rethinking Adjacent Dependency in Session-based Recommendations
Session-based recommendations (SBRs) recommend the next item for an anon...
research
∙
10/12/2021
Aspect-driven User Preference and News Representation Learning for News Recommendation
News recommender systems are essential for helping users to efficiently ...
research
∙
07/15/2021
Next-item Recommendations in Short Sessions
The changing preferences of users towards items trigger the emergence of...
research
∙
05/13/2021
Graph Learning based Recommender Systems: A Review
Recent years have witnessed the fast development of the emerging topic o...
research
∙
09/15/2020
Stratified and Time-aware Sampling based Adaptive Ensemble Learning for Streaming Recommendations
Recommender systems have played an increasingly important role in provid...
research
∙
09/14/2020
Double-Wing Mixture of Experts for Streaming Recommendations
Streaming Recommender Systems (SRSs) commonly train recommendation model...
research
∙
05/30/2020
Jointly Modeling Intra- and Inter-transaction Dependencies with Hierarchical Attentive Transaction Embeddings for Next-item Recommendation
A transaction-based recommender system (TBRS) aims to predict the next i...
research
∙
05/08/2020
Beyond CNNs: Exploiting Further Inherent Symmetries in Medical Images for Segmentation
Automatic tumor segmentation is a crucial step in medical image analysis...
research
∙
04/22/2020
Graph Learning Approaches to Recommender Systems: A Review
Recent years have witnessed the fast development of the emerging topic o...
research
∙
12/28/2019
Sequential Recommender Systems: Challenges, Progress and Prospects
The emerging topic of sequential recommender systems has attracted incre...
research
∙
02/13/2019
