Deep learning (DL) has been widely used in various fields. However, its black-box nature
limits people's understanding and trust in its decision-making process. Therefore, it becomes …

The paper underscores the significance of Large Language Models (LLMs) in reshaping
recommender systems, attributing their value to unique reasoning abilities absent in …

Graphs are an essential data structure utilized to represent relationships in real-world
scenarios. Prior research has established that Graph Neural Networks (GNNs) deliver …

Large language models (LLMs) have significantly influenced recommender systems,
spurring interest across academia and industry in leveraging LLMs for recommendation …

Harnessing Large Language Models (LLMs) for recommendation is rapidly emerging, which
relies on two fundamental steps to bridge the recommendation item space and the language …

Large Language Models (LLMs), with their advanced contextual understanding abilities,
have demonstrated considerable potential in enhancing recommendation systems via fine …

Owing to their powerful semantic reasoning capabilities, Large Language Models (LLMs)
have been effectively utilized as recommenders, achieving impressive performance …

Utilizing powerful Large Language Models (LLMs) for generative recommendation has
attracted much attention. Nevertheless, a crucial challenge is transforming recommendation …

With the information explosion on the Web, search and recommendation are foundational
infrastructures to satisfying users' information needs. As the two sides of the same coin, both …

The explainability of recommendation systems is crucial for enhancing user trust and
satisfaction. Leveraging large language models (LLMs) offers new opportunities for …