London Information Retrieval Meetup [November 2023]
We are delighted to announce the nineteenth London Information Retrieval Meetup, a free evening event aimed at Information Retrieval enthusiasts and professionals who are curious to explore and discuss the latest trends in the field.
This time the Meetup is Hybrid, with a live event in London, thanks to BCS and Search Solutions, being streamed online on Zoom!
ATTENTION
Remember to fill out the form to confirm the registration
BCS London Headquarters,
Ground Floor, 25
Copthall Avenue
EC2R 7BP
Date: 20th November 2023 | open doors from 6:00 PM (GMT)
This is a satellite event of the annual Search Solution Conference. Feel free to register for the main event here:
Location: Zoom [You will receive the link after the registration]
Date: 20th November 2023 | 6:15-8:00 PM (GMT)
PROGRAM
The event will be structured around 2 technical talks, each followed by a Q&A session. The event will end with a networking session.
> Open doors from 6:00 GMT (in-presence)
> 6:15 GMT open doors for virtual attendees
- Welcome & Latest News – Alessandro Benedetti, Director @ Sease
> 6:30 GMT First talk – User-Centred Interactive Information Access – Haiming Liu | Associate Professor and Director @ Centre for Machine Intelligence (CMI) – University of Southampton
> 7:15 GMT Second talk – Dataset Discovery in Data Spaces – Luis-Daniel Ibáñez | Lecturer in the Web and Internet Science team @ University of Southampton
> 8:00 GMT Networking session + buffet
User-Centred Interactive Information Access
Human-centric information technology is not only beneficial to users but also crucial for
business who design and develops information technology products for their customers. In this task,
I will be presenting the work that my research team has been working on to address the problems
and challenges in user-centred interactive information access, which aims to provide you insights on
what you may be able to apply to your work and products.
Haiming Liu
DIRECTOR @ CMI(centre for machine intelligence)
Dr Haiming Liu is an Associate Professor and Director of Centre for Machine Intelligence (CMI) at University of Southampton. Haiming specialises in designing and developing user-centred multimedia and multimodal information access and retrieval technologies. Haiming is keen on exploring future direction of the user-centred information access and retrieval in the context of generative AI, ethical, and responsible AI and the development of the innovative interaction technologies with emerging hardware and software. Her research outcomes have been applied to
multidisciplinary domains, such as E-learning, E-commerce, E-Health, and E-government, etc.
Haiming is active in knowledge exchange projects that aim to transfer her knowledge and expertise to improve the industrial productivity and solve business problems.
Dataset Discovery in Data Spaces
A common task in Data Science practice is to search for datasets required for a given task.
In this talk, I will introduce the problem of dataset search (aka Discovery), explain differences and similarities with other verticals its and provide a summary of the state of the art. I will also provide an overview of the additional challenges faced as we move towards the realisation of Common Data Spaces, an abstraction to facilitate the free flow of data for common and fair exploitation by multiple actors.
Luis-Daniel Ibáñez
Lecturer in the web and internet science team @ university of southamptonproviding universal plugins to support common functionalities of data sharing platforms and marketplaces in the context of Data Spaces. Previously, he was a Research Fellow working on Crowdsourcing and Human-in-the-loop data management, as well as managing cascade funding for
European companies innovating using Open Data in the Open Data Incubator for Europe (ODINE) project. He holds a PhD from the University of Nantes, France, where he studied the intersection between the Semantic Web and Distributed Databases.
A Deep Dive into Personalized Information Retrieval
Pranav Kasela
PhD Student @ Università Milano-BicoccaHuawei presents ModelArts - Simple tooling for your AI
Huawei Cloud finally approached Europe coming with ModelArts among many other cloud services! ModelArts is a one-stop AI development platform geared toward developers and data scientists of all skill levels. It enables you to rapidly develop, build, train, and deploy models anywhere, and manage full-lifecycle AI workflows supporting mainstream open-source AI development frameworks such as TensorFlow, PyTorch, and MindSpore.
FRANCESCO STRANIERI
Developer Advocate @ Huawei CloudWith several years as Developer Advocate for Huawei Mobile Services, He’s now on Huawei Cloud (EU) services, supporting developers, communities and events. As ML enthusiast, coming with a bright past on ML Kit from Huawei Mobile Services, He’s now focusing on ModelArts from Huawei Cloud, regularly playing with Jupyter Notebooks.
ATTENTION
Remember to fill out the form to confirm the registration
