In this paper, we introduce an embedding model, named CapsE, exploring a capsule
network to model relationship triples (subject, relation, object). Our CapsE represents each …

Advancing the Search Frontier with AI Agents | Communications of the ACM skip to main
content ACM Digital Library home ACM Association for Computing Machinery corporate …

Large language models (LLMs) have shown impressive capabilities in natural language
understanding and generation. Their potential for deeper user understanding and improved …

Many recommenders aim to provide relevant recommendations to users by building
personal topic interest profiles and then using these profiles to find interesting contents for …

We present a context-aware neural ranking model to exploit users' on-task search activities
and enhance retrieval performance. In particular, a two-level hierarchical recurrent neural …

User intent modeling in natural language processing deciphers user requests to allow for
personalized responses. The substantial volume of research (exceeding 13,000 …

Personalization of information retrieval (PIR) is aimed at tailoring a search toward individual
users and user groups by taking account of additional information about users besides their …

Personalized search plays a crucial role in improving user search experience owing to its
ability to build user profiles based on historical behaviors. Previous studies have made great …

Legal case retrieval is a special Information Retrieval (IR) task focusing on legal case
documents. Depending on the downstream tasks of the retrieved case documents, users' …

We study the use and evaluation of a system for supporting music discovery, the experience
of finding and listening to content previously unknown to the user. We adopt a mixed …