I know the year, month, day and hour I was banned on gamefaqs.gamespot.com and yet this CNN plant don't remember anything. Yeah right. Source: 10 months ago

All the glitches are listed here: https://gamefaqs.gamespot.com/. Source: 11 months ago

Some websites it's possible he could've used: Tom's Hardware,, GameFAQs, SomethingAwful, and MySpace. Source: 11 months ago

A computer gamer will find a community at GameFAQs or IGN Boards for example. And you can have very specialized communities for example for a specific computer game series, or if you're into Subaru Imprezas there's a whole forum for that as well called NASIOC, and many other non-tech topics too. Source: 11 months ago

NOW!!! Being a Pokemon game, I believe just using the Bulbapedia would help you A LOT. Then I would add an script/dialogue transcription of the game (sometimes you can find them in the "good and old" Gamefaqs. Source: about 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: over 2 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: over 2 years ago