We recently got the good news that the US Patent Office will accept our application for a patent protecting our Filtering algorithm. As it was the first patent we’d applied for, both as a company and as individuals, it’s been interesting and a learning experience. I wanted to share some of that with you in case you are on a similar path.
Next month, we’ll be releasing a technology hosting a small library of resources exclusively for L&D (and HR) professionals. It’s an online recommender system of high-quality learning to read, watch, practice and apply for our industry: globalfilter for L&D professionals. We’ve spent the past two years developing a patent-approved technology to get the right learning to the right learner. This is the version for our industry. It consists of conversational UI (chatbot) + 125 human-curated learning assets + recommendation system to prioritise and personalize it all.
LinkedIn’s feed is boring and could be improved by toning down promos and likes, and introducing an easy model (User-System-Content) for evaluating recommender systems in general. Like 40% of LinkedIn users, I’m on it every day. LinkedIn has a monopoly on public CVs which are useful for lots of reasons. And many of the articles are interesting. But the rest – epitomised by the activity feed – is dull. No wonder LinkedIn is one of the least sticky social media sites.
We’re working on how to personalise training to optimise productivity. In one strand of that project we are trying to understand the characteristics that make a recommendation useful. The recommendation might be for a book, a course, a video, an article, an experience, a mentor, a conversation, a tool, a tip… anything that’s made a difference to the way we work and the results we see.