Robust recommender system: a survey and future directions
With the rapid growth of information, recommender systems have become integral for
providing personalized suggestions and overcoming information overload. However, their …
providing personalized suggestions and overcoming information overload. However, their …
Impact of guidance and interaction strategies for LLM use on Learner Performance and perception
Personalized chatbot-based teaching assistants can be crucial in addressing increasing
classroom sizes, especially where direct teacher presence is limited. Large language …
classroom sizes, especially where direct teacher presence is limited. Large language …
Language models are free boosters for biomedical imaging tasks
In this study, we uncover the unexpected efficacy of residual-based large language models
(LLMs) as part of encoders for biomedical imaging tasks, a domain traditionally devoid of …
(LLMs) as part of encoders for biomedical imaging tasks, a domain traditionally devoid of …
Engineering conversational search systems: A review of applications, architectures, and functional components
Conversational search systems enable information retrieval via natural language
interactions, with the goal of maximizing users' information gain over multiple dialogue turns …
interactions, with the goal of maximizing users' information gain over multiple dialogue turns …
The first workshop on personalized generative ai@ cikm 2023: Personalization meets large language models
The First Workshop on Personalized Generative AI1 aims to be a cornerstone event
fostering innovation and collaboration in the dynamic field of personalized AI. Leveraging …
fostering innovation and collaboration in the dynamic field of personalized AI. Leveraging …
A Survey of Large Language Models on Generative Graph Analytics: Query, Learning, and Applications
A graph is a fundamental data model to represent various entities and their complex
relationships in society and nature, such as social networks, transportation networks …
relationships in society and nature, such as social networks, transportation networks …
Conversational Exploratory Search of Scholarly Publications Using Knowledge Graphs
Traditional search methods primarily depend on string matches, while semantic search
targets concept-based matches by recognizing underlying intents and contextual meanings …
targets concept-based matches by recognizing underlying intents and contextual meanings …
Towards Scalability and Extensibility of Query Reformulation Modeling in E-commerce Search
Customer behavioral data significantly impacts e-commerce search systems. However, in
the case of less common queries, the associated behavioral data tends to be sparse and …
the case of less common queries, the associated behavioral data tends to be sparse and …