The Filter – The Perfect Filter?

April 19, 2008

Recommendation systems are great and very important for media consume in the future (I wrote about it a while ago here and here). Most of the content providers and services in the online world are currently based on concepts which use/need the “lean forward mode” of media consumers. But consumers love the “lean backward mode” a lot in a age of information overflow (the burden of choice). In the music area we have already one great product: Last.Fm.

Now there is the launch of a new online service:

The Filter, a new media recommendation and discovery service, announced on Tuesday the launch of an invite-only private beta. But not like last.fm which just recommends and personalizes your music programme, the filter also includes movies, TV and other media, and considers past purchases, websites viewed, searches performed, friends’ picks and critics’ opinions into its recommendations

I`m quite excited about that… I was looking for such a service for a while… can`t wait to see how it will doing..

Here some more informations from The Filter website

“The Filter is powered by an engine that provides a holistic approach to recommendations – filtering out irrelevant content and only filtering in content that reflects an individual’s tastes and moods through unique algorithms.

In addition to the consumer entertainment experience here at TheFilter.com, The Filter can also provide white label and co-branded solutions for content partners seeking to better match their inventory of content to their visitors’ tastes.

The Filter’s core is a recommendation and discovery engine derived from a branch of Artificial Intelligence, called Bayesian mathematics. Simplistically, the engine uses an evidence model (which includes purchase, consumption and browsing data) to derive the similarity of items. When The Filter’s engine is supplied with one or more items of interest it delivers a pick-list of items that are statistically relevant by order of probability.”

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