Tunefind.com is a decent source though not all soundtracks are available but it is editable for updates, they even list the specific scene that the soundtrack plays on. Source: 12 months ago

With that in mind, I’m guessing it’s a little-known Aussie artist (male vocal only) as searching the lyrics returns nothing (and Shazam/Soundhound didn’t ID it). Not listed one tune-list.com (the show doesn't even have a page on tunefind.com). No credits are displayed at the end credits for the song either (only one other song had a credit in that ep - odd to leave this one out while credit another song). Source: about 1 year ago

I'm unable to search on that site, maybe I don't know how to use it. I've used tunefind.com , also to no avail. Source: over 1 year ago

Try tunefind.com, there are 11 songs listed for episode 1... Hopefully it's there for you :-). Source: over 1 year ago

Tunefind.com has 6 songs for that episode, is it one of those? Source: over 1 year ago

Try taste.io, you cannot find users, but it will suggest you movies that people with similar tastes liked. Source: almost 2 years ago

On a social website (taste.io) I read a comment complaining about ‘bi- and homophobia sprinkled throughout [Elementary]’. The site doesn’t allow to react to comments so I couldn’t ask the person, but their comment got me thinking and I would like to hear people’s opinion: Do you think the show has some problematic moments in regards to lgbt+ representation and if yes, can you provide concrete examples? Source: over 2 years ago

It's John from taste.io, I think it depends on the method you want to use and where you're able to retrieve data to train the model. With a short amount of time and limited resources, you won't have the luxury of creating a collaborative filtering model....content-filtering is possible if you can also be resourceful with APIs + build crawlers. But, the results might be mediocre...meaning, the recommendations... Source: almost 3 years ago

I have been asked to build a recommender system for TV shows at large scale, meaning thousands of users across the entire libraries of services like Netflix, Hulu and Amazon Prime. Something like taste.io but completely focussed on TV shows and not movies. My main concern is the complexity of this project, I have read up on recommender systems, and they seem fairly straightforward, its the scale that scares me. Source: almost 3 years ago