Finnish Content Discovery Case Study
July 31, 2015
There are many services that offer companies the ability to increase their content discover. One of these services is Leiki, which offers intelligent user profiling, context-based intelligence, and semantic SaaS solutions. Rather than having humans adapt their content to get to the top of search engine results, the machine is altered to fit a human’s needs. Leiki pushes relevant content to a user’s search query. Leiki released a recent, “Case Study: Lieki Smart Services Increase Customer Flow Significantly At Alma Media.”
Alma Media is one of the largest media companies in Finland, owning many well-known Finnish brands. These include Finland’s most popular Web site, classified ads, and a tabloid newspaper. Alma Media employed two of Leiki’s services to grow its traffic:
“Leiki’s Smart Services are adept at understanding textual content across various content types: articles, video, images, classifieds, etc. Each content item is analyzed with our semantic engine Leiki Focus to create a very detailed “fingerprint” or content profile of topics associated with the content.
SmartContext is the market leading service for contextual content recommendations. It’s uniquely able to recommend content across content types and sites and does this by finding related content using the meaning of content – not keyword frequency.
SmartPersonal stands for behavioral content recommendations. As it also uses Leiki’s unique analysis of the meaning in content, it can recommend content from any other site and content type based on usage of one site.”
The case study runs down how Leiki’s services improved traffic and encouraged more users to consume its content. Leiki’s main selling point in the cast study is that offers users personal recommendations based on content they clicked on Alma Media Web sites. Leiki wants to be a part of developing Web 3.0 and the research shows that personalization is the way for it to go.
Whitney Grace, July 31, 2015
Sponsored by ArnoldIT.com, publisher of the CyberOSINT monograph