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A recommender for the modern digital workplace

Enterprise Knowledge Graphs – Transforming Data into Knowledge


Andreas Blumauer, CEO & Co-founder, Semantic Web Company

Lorenzo Tosi, Data and Knowledge Engineer, Semantic Web Company


Replay from October 17, 2023

Towards recommendations that actually help

As consumers we are used to recommender systems that give us a series of “Others also bought” or  “You might also like” suggestions. In the workplace, these types of recommendations aren’t particularly useful because they often suggest more of the obvious and don’t factor in the requirements of employee queries.

What is a smart recommender system and how can it help in the digital workplace?

Employees have specific tasks; they must write a report based on new regulations, provide customer support for a product issue, and close a deal based on a prospect’s use case – to name a few. To accomplish each of these tasks, the employee must extract and assemble information that fits and complements the specific work context at hand.

Smart recommender systems in the digital workplace do not produce trivial ‘more of the same’ information, but understand to some extent how information actually fits together.

With the upcoming release of the new PoolParty Recommender, we are helping knowledge workers complete their often complex work steps more efficiently and error-free with a knowledge-based recommender system.

The PoolParty Recommender is tailored to your organization and its specific knowledge domain, making them more accurate than any approach using only machine learning.

Join our webinar to celebrate this new release with us, and dive into the details with CEO Andreas Blumauer:

  • What is a knowledge-based recommender system?
  • The PoolParty Recommender Workbench: how its methodology and technical capabilities set it apart from other recommenders on the market
  • Common use cases found in the workplace
  • Demos of the product, including how it can be used in a front-end user application

After this webinar, you will understand:

  • How the PoolParty Recommender overcomes the limitations of collaborative filtering and content-based algorithms
  • How organizations especially benefit from a domain-specific model, AKA a recommender that’s built specifically for you
  • How to easily integrate the PoolParty Recommender Workbench with your existing software

We hope to see you there!


Andreas Blumauer

Andreas Blumauer

CEO & Co-founder, Semantic Web Company

Andreas Blumauer is CEO and co-founder of Semantic Web Company (SWC), the provider and developer of the PoolParty Semantic Platform. With headquarters in Vienna, Austria, but operating globally, SWC has worked with over 200 commercial, government, and non-profit organizations to deliver AI and semantic search solutions, knowledge platforms, content hubs, and related data modeling and integration services. SWC was named to KMWorld’s prestigious list of “100 Companies that Matter in Knowledge Management” from 2016 to 2021 and has been named multiple times in Gartner’s Magic Quadrant for Metadata Management Solutions and as a Sample Vendor in their Hype Cycle for Natural Language Technologies.

In his role as CEO, Andreas is responsible for both the strategic growth of the company and its organizational evolution toward a highly focused customer orientation. SWC has grown every year since its inception under his leadership, and has been able to develop a cutting-edge and unique software platform that is ISO 27001 certified, and deployed globally across a number of key industries.

A high profile partner network has been built around this platform, implementing scalable semantic AI platforms for his clients, many of whom are among the largest and most innovative companies in their industries.

Lorenzo Tosi

Lorenzo Tosi

Data and Knowledge Engineer, Semantic Web Company

Lorenzo Tosi works as a Data and Knowledge Engineer at Semantic Web Company (SWC). He holds a Master Degree in Computational Lingustics from the Higher School of Economics (HSE), Moscow, where he worked on multilingual annotation and tokenization systems and deep learning for language models.

Lorenzo specializes in working with customers to design and implement systems based on PoolParty’s dynamic suite to solve strategic business needs, ranging from content discoverability to metadata management and system integration. A passion for coding and linguistics gives Lorenzo the unique ability to understand the complex needs of customers while offering them tailor made solutions, indepth technical support, and unmatched consulting and training services.

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