Welcome to RS_c, the central platform for the RecSys community. We provide curated lists of recommender-systems datasets, algorithms, books, conferences and many resources more. Maybe most importantly, we publish the latest recommender-system news. If you want your news to be reported on RS_c, read here.
The annual Joint Conference on Digital Libraries (JCDL) is the primary international event for the inter- and multi-disciplinary community of academics and practitioners in digital libraries coming from computer, information and social sciences, and other related disciplines. JCDL encompasses the many meanings of the term digital libraries, including notions of managing, operating, developing, curating, evaluating, or utilizing collections of data/information/knowledge in various domains.
JCDL 2022 – Bridging Worlds
In this global pandemic that put many of us into lockdown, quarantine, and separation for a long time, we will do our best to bring together communities and people again. As digital libraries are traditionally strong in connecting the digital and the physical world, we will pick up this heritage and establish a hybrid format that is as open as possible to everyone.
Topics of interest, as they relate to digital libraries, include, but are not limited to:
Users and Interactions
Collaborative and participatory information environments
Crowdsourcing and human computation
Social networks, virtual organizations and networked information
Social media, community building, and applications
User behavior and modeling
Search and Recommendation
AI / Machine Learning/ Data mining for DLs
Information and knowledge systems
Natural language processing
Navigational and exploratory search
Personalization and contextualization
Digital Libraries in Practice
Digital archiving and preservation
Digital humanities and heritage
Knowledge organization systems in practice
Personal digital information management
Policy and law
Privacy and Intellectual property
Scientific data management
Content and Structures
Data curation and stewardship
Extracting semantics, entities, and patterns from large collections
I am the founder of Recommender-Systems.com and head of the Intelligent Systems Group (ISG) at the University of Siegen, Germany https://isg.beel.org. We conduct research in recommender-systems (RecSys), personalization and information retrieval (IR) as well as on automated machine learning (AutoML), meta-learning and algorithm selection. Domains we are particularly interested in include smart places, eHealth, manufacturing (industry 4.0), mobility, visual computing, and digital libraries.
We founded or maintain, among others, LensKit-Auto, Darwin & Goliath, Mr. DLib, and Docear, each with thousand of users; we contributed to TensorFlow, JabRef and others; and we developed the first prototypes of automated recommender systems (AutoSurprise and Auto-CaseRec) and Federated Meta Learning (FMLearn Server and Client).