Work

1st Workshop on Multimodal Search and Recommendations (CIKM MMSR '24)

Year: 2024

Type: conference-paper

Abstract: With the advent of multimodal LLMs and release of open-source multimodal models, the potential for multimodal search and recommendations has significantly increased. Multimodal systems offer a next-gen customer experience by creating a shared embedding space for text, images, audio, etc. These advancements enable more accurate, personalized recommendations, enhancing user satisfaction and engagement. This workshop on Multimodal Search and Recommendations explores the latest advancements, challenges, and applications of multimodal search and recommendations.

Source: ACM International Conference on Information and Knowledge Management (CIKM)

DOI: 10.1145/3627673.3679082

Authors: Aditya Chichani, Surya Kallumadi, Tracy Holloway King, Andrei Lopatenko

Institution: Adobe Systems (United States)

Language: English

Topic: Multimodal Machine Learning Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W4403577766

FWCI: 0.229

Cites:

Cited by: 1

Related to: 10