CIKM MMSR ‘24

Overview

The advent of multimodal LLMs like GPT-4o and Gemini has significantly boosted the potential for multimodal search and recommendations. Traditional search engines rely mainly on textual queries, supplemented by session and geographical data. In contrast, multimodal systems create a shared embedding space for text, images, audio, and more, enabling next-gen customer experiences. These advancements lead to more accurate and personalized recommendations, enhancing user satisfaction and engagement.

MMSR will be a full-day workshop at CIKM 2024. The workshop will be held on October 25, 2024 at Boise Center, Idaho, USA. The workshop will explore the latest advancements, challenges, and applications of multimodal search and recommendations.

Register to attend the workshop

Workshop Program Format

The workshop will include keynote speeches, research paper presentations, interactive networking sessions, and a panel discussion on Emerging trends and challenges in multimodal search and recommendations. The workshop will primarily be in person.

*Detailed schedule will be posted here closer to the workshop date.

• 2 invited talks
• Long (20 min) contributed talks
  • 15 min paper presentations
  • 5 min lightning discussions
• Panel discussion

Keynote Speakers

Dr. Vamsi Salaka is the Head of Visual Search at Amazon where he oversees initiatives to build cutting edge image and multimodal search systems.

Dr. Yubin Kim is the Head of Engineering at Vody, a multimodal GenAI startup. Dr. Kim is a seasoned search & recommendations leader with experience in pragmatically solving multimodal problems at scale.

Organizers

Aditya Chichani

Surya Kallumadi

Tracy Holloway King

Andrei Lopatenko

Important Dates

All deadlines are at 23: 59 P.M. GMT