123 citations · 218 across the 11 of their papers we have counts for
8 papers · 1 filter
A Survey on Bundle Recommendation: Methods, Applications, and Challenges
Meng Sun, Lin Li, Ming Li +5
In recent years, bundle recommendation systems have gained significant attention in both academia and industry due to their ability to enhance user experience and increase sales by…
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari +10
Large Language Models (LLMs) have recently gained significant attention due to their remarkable capabilities in performing diverse tasks across various domains. However, a thorough…
Review-based Recommender Systems: A Survey of Approaches, Challenges and Future Perspectives
Emrul Hasan, Mizanur Rahman, Chen Ding +2
Recommender systems play a pivotal role in helping users navigate an overwhelming selection of products and services. On online platforms, users have the opportunity to share feedb…
MealRec: A Meal Recommendation Dataset with Meal-Course Affiliation for Personalization and Healthiness
Ming Li, Lin Li, Xiaohui Tao +1
Meal recommendation, as a typical health-related recommendation task, contains complex relationships between users, courses, and meals. Among them, meal-course affiliation associat…
One Subgraph for All: Efficient Reasoning on Opening Subgraphs for Inductive Knowledge Graph Completion
Zhiwen Xie, Yi Zhang, Guangyou Zhou +3
Knowledge Graph Completion (KGC) has garnered massive research interest recently, and most existing methods are designed following a transductive setting where all entities are obs…
A Survey on Retrieval-Augmented Text Generation for Large Language Models
Yizheng Huang, Jimmy Huang
Retrieval-Augmented Generation (RAG) merges retrieval methods with deep learning advancements to address the static limitations of large language models (LLMs) by enabling the dyna…
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges
Jiajia Wang, Jimmy X. Huang, Xinhui Tu +4
Recent years have witnessed a substantial increase in the use of deep learning to solve various natural language processing (NLP) problems. Early deep learning models were constrai…
Exploring ChatGPT for Next-generation Information Retrieval: Opportunities and Challenges
Yizheng Huang, Jimmy Huang
The rapid advancement of artificial intelligence (AI) has highlighted ChatGPT as a pivotal technology in the field of information retrieval (IR). Distinguished from its predecessor…