User Profiling Using AWS ElasticSearch – RomCom use case.

Personal differences and preferences marks a very important part of our identity, and optimizing the user experiences based on them can be a great tool in improving users engagement. In our previous post to tackled the issue of personalized recommendations and how can ElasticSearch make the process extreemly simpler. However in order to build a robust personal recomendation system it is paramount to have an idea of each user. Who are they and what do they like. This is commonly refered to as a user profile. In this post we will present a road map to enabling user profiling with … Continue reading User Profiling Using AWS ElasticSearch – RomCom use case.

Automatically Extracting Valuable Content from News Streams.

Almeta News, as a content aggregator app from ~ 50 sources – to the time we wrote this blog post – always aims to provide its users with the best quality pieces to read. Rather than an army of content watchers and editors, Almeta is looking forward to developing the best algorithms to review content automatically, looking for indicators of quality, assessing a content’s placement. This post is a part of our research efforts seeking the best content ranking methodology.In this post, we’re trying to determine the most effective indicators of content quality. Depending on human experts’ points of view, … Continue reading Automatically Extracting Valuable Content from News Streams.

What Makes an Article Informative and How Computers Can Measure Informativeness

What Makes an Article Informative – And How Computers Can Measure Informativity of a Text Content

The Concept of an informative text is really abstract and it is hard to come up with a definitive formula to measure it, in this article we will explore some of the features that we believe can make an article … Continue reading What Makes an Article Informative – And How Computers Can Measure Informativity of a Text Content