ACM Transactions on Information Systems

Unscrupulous advertisers may try to increase attention to search ads by using offensive ads, which can increase attention and recall to the detriment of individuals and society. Here, we investigate whether offensive ads, when shown to search engine users,...

Medication recommendation is one of the most critical health-related applications, which has attracted extensive research interest recently. Most existing works focus on a single hospital with abundant medical data. However, many small hospitals only have ...

Providing explanations for recommendation decisions is crucial for enhancing user trust and satisfaction in recommender systems. However, existing generative methods often produce generic, repetitive explanation texts that fail to reflect the true reasons ...

Incorporating explicit personas into dialogue models is critical for generating responses that fulfill specific user needs and preferences, creating a more personalized and engaging interaction. Early works on persona-based dialogue generation directly ...

Personalized micro video recommendation aims to recommend the micro videos tailored to user preference based on the user’s interaction history with the micro videos, which has drawn increasing attention from both the academic and industrial communities. ...

The growing memory demands of embedding tables in Deep Learning Recommendation Models (DLRMs) pose great challenges for model training and deployment. Existing embedding compression solutions cannot simultaneously achieve memory efficiency, low latency, ...

Conversational recommender systems (CRSs) suggest items to users by understanding their needs and preferences from natural language conversations. While users can freely express preferences, modeling needs and preferences solely from users’ conversations ...

Since the creation of the Web, recommender systems (RSs) have been an indispensable personalization mechanism in information filtering. Most state-of-the-art RSs primarily depend on categorical features such as user and item IDs, and use embedding vectors ...

Recommender systems (RSs) are designed to provide personalized recommendations to users. Recently, knowledge graphs (KGs) have been widely introduced in RSs to improve recommendation accuracy. In this study, however, we demonstrate that RSs do not ...