On the Radar: ManyWorlds
With its machine learning-based recommendations engine Synxi, Texas-based ManyWorlds leverages the rich data generated by modern social and collaborative technologies to give individual users personalised and contextual suggestions of content and experts. The company currently provides integrations with Microsoft SharePoint, Yammer and TIBCO tibbr.
Headquartered in Austin, Texas, ManyWorlds (www.manyworlds.com) is a small, R&D-focused software vendor that provides a machine learning-based expertise discovery and recommendations solution called Synxi (pronounced “syn-ex-ee”).
What does it do?
By applying a learning layer across an organisation’s collaboration systems, Synxi uses a range of patented algorithms to analyse users’ collaborative activities over time to understand what they are doing, what they are interested in and what they are good at. This information collectively creates a profile of the individual which in turn allows the system to make tailored, personalised recommendations about content (“Synxi Knowledge Discovery”) and people (“Synxi Expertise Discovery”) in the context of the person’s current activity.
Synxi continues to learn and adapt, monitoring for example whether the individual clicked on a recommendation, and how long they spent looking at the recommended content in order to assess its relevance and value to them. While the system is predominantly “black box” in nature, individual users can manually tune their content recommendations by adjusting three weightings or biases – “recency”, “popularity” and “interest” – according to how these characteristics apply to their specific role.
While the platform could be applied to any collaboration technology, ManyWorlds currently ships pre-built integrations and apps for customers of SharePoint 2010 and 2013, Yammer, and TIBCO tibbr. Because of the differing nature and user experiences of these systems, Synxi is surfaced slightly differently in each:
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