Time:
Thursday, September 13, 2018 - 10:15 to 11:15
Talks
Recommender Systems (RS) have taken the center place in contemporary e-commerce marketplaces. And RS guides customers towards such items that best meet their preferences and requirements. Although there are many RS techniques including content-based, collaborative filtering, knowledge based etc., each technique has some downsides such as data sparsity, cold-start problem, scalability etc.
Rajam Sidhant
MSc. in Computer Science from University of Aizu, Japan
Start Today Technologies Inc
https://www.starttoday.jp/
Sidhant is currently working as a Senior Data Manager R&D for Start Today Technologies Inc, Japan which is Japan's top Fashion and Luxury Outfit E-commerce Company with its flagship ZOZOTOWN e-marketplace. Sidhant is a regular speaker in many international IEEE and ACM conferences such as ECSA-2016 Denmark, EBW-2015 France, SEMANTiCS-2014 Germany etc.
AI Knowledge Graphs (AI KGs) are realizations of Linked Enterprise Data, creating valuable business insights by bringing together semantic technologies and enterprise data infrastructures. These Knowledge Graphs go beyond data integration: the semantics underlying these next generation AI applications provide machines with the advantage of understanding the meaning of large data volumes.
Michael van Bekkum
MSc.
TNO, the Netherlands Organisation for applied scientific research
https://www.tno.nl/en/
MSc. Michael van Bekkum (male) is a researcher for TNO in the field of semantics and interoperability of ICT. Specific research topics include (1) domain modelling in formal semantics, (2) linked data and semantic web technology and (3) future internet and data platforms.