Abstract: Multimodal recommender systems utilize a variety of information types to model user preferences and item properties, aiding in the discovery of items that align with user interests. Rich ...
The new year started off with a bang when a python hunter caught a 202-pound female python. That's a lot of meat to eat. But ...
Abstract: Owing to the impressive general intelligence of large language models (LLMs), there has been a growing trend to integrate them into recommender systems to gain a more profound insight into ...
Background: Diet-related Health Recommender Systems (HRS) have gained attention for their potential to provide personalized dietary guidance, particularly for patients with chronic conditions. However ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results