Tag Archives: Recommend

RecooME – In Search Of The Ultimate Playlists

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http://www.recoo.me

Name: RecooME
URL: http://www.recoo.me

We all know the place to look for playlists online is Last.fm, but those who want to try something a little bit different are well-advised to give this website a try.

RecooME is a social network for the sharing of music and songs. Here, people can recommend these songs they can’t get out of their heads. And these recommendations are what give this site its edge, as people not only follow each other around and see what they are listening to, but also rate what others have shared.

The objective of all this sharing and rating is to eventually let people figure out which the best songs within any given genre are. The idea is that the playlists arrived at on RecooME are nothing but a vivid snapshot of the tastes of people at the moment in time they were created. Continue reading →

Myna Music – Discover Music Through Music

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MynaMusicName: Myna Music
URL: http://www.mynamusic.com

The music recommendation services that we have today invariably revolve around one thing: metadata keywords. And one has to wonder, is it really so difficult to come up with something that little more intelligent? Something that doesn’t necessitate us type word after word describing what we are looking for, or individualizing several different songs for an automated system to produce results that might be completely off the target.

That is what this new service aims to revolutionize. It is named Myna, and it basically lets you discover new music to listen to by having songs that you like played and analyzed using a proprietary system.

In their own words:

“Myna listens to and comprehends music directly, making it possible to search based on mood, sound, or texture or autonomously generate highly-personalized music playlists — all without metatags.” Continue reading →

YouTube Now Features A Recommendation Engine For Music Videos

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As many of you probably noticed, YouTube’s music page has been overhauled, and a key feature has been added: a recommendation engine for music videos based both on your settings, preferences and these clips that your friends are sharing.

In practice, this turns YouTube into a tool for discovery that makes me think a lot of the days in which MTV actually played music.

Such a move was long due in the face of competing services such as The Hype Machine and Pandora, and it was somehow announced just a couple of weeks ago with the release of LeanBack (a service for discovering videos based on what your friends are watching). Continue reading →

Spotiseek – For Spotify Users Looking For New Artists To Try

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Spotiseek

Name: Spotiseek
URL: http://www.spotiseek.com

I am sure that those of you who live in Europe are more than familiar with the peer-to-peer service known as Spotify. It is a streaming service that lets you listen to artists both new and old in a legal way, as record companies have granted permission for each track to be featured.

This website aims to let Spotify users have a more enjoyable time around. Using it, they can find artists that are meant to match their tastes. Once they have found a couple of similar artists, they can create a mixtape including these new bands and share them with friends.  Continue reading →

Marco (Filtersage) – Interview (Part 1)

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I have the pleasure to share with you the insight of Marco from Filtersage, the startup I reviewed recently. As you probably remember, Filtersage is a system that lets you explore the connections between movies and music releases from all through history.

This is part 1 of the interview, about the startup itself.

And click here for Part 2 (“Music & You”).

PART I

THE STARTUP

Tell us a little about your startup. How was it conceived? What are its most distinctive features in your opinion?

The basic idea comes from a very simple observation. When we listen to a new album or watch a movie, we usually connect it to something that we have listened to or watched before. A new album reminds us of an old favorite because of the tune or the sound; or we connect a dvd to something we watched last year because of the story, a particular scene or even the atmosphere. This is what Filtersage is about: connecting new stuff to something we have loved in the past. And it is also about exploring the connections that other users are making, so it’s possible to discover more stuff that might interest us. Filtersage is about memory and knowledge, and this is why we think that the connections you can find here are very strong and highly interesting: because these connections are memory based and knowledge based. We like to say that this happens because there is no is algorithm working, Filtersage is totally ‘human based’. Continue reading →