Coworker.com Reviews

Taste Reviews

Coworker.com mentions (4)

• Co-working space for just one week in Istanbul?

  When it comes to coworks the amount of reviews on Google Maps are a good sign. If you want more info on one coworker.com is the Yelp of coworks. It might have more info. Source: almost 2 years ago

• Coworking spots near El Poblado

  Anyone have a recommendation? I searched and the topics about this seem to be about 6 months old, I never used coworker.com, and I'm not sure how legit the reviews are, or if they're recent. Source: over 2 years ago

• Coworking with day pass and external monitors??

  I had a look on coworker.com, but they list a lot of places as if they have "external monitor" but when I go checking on the actual coworking webpage I see that it is not true, they don´´ t rent external monitors nor they have external monitors. Source: over 2 years ago

• Finding co-working spaces that cater to digital nomads?

  Btw, to find just coworking spaces, you can checkout coworker.com or cofynd.com and filter for the locations, might not be too useful though for remote locations. Also Just googling coliving and coworking spaces online in India would give you substantial options if you are looking for places that offer stay as well as a work space. Source: almost 3 years ago

Taste mentions (4)

• Letterboxd Dating App

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

• In-show bi- and homophobia?

  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

• How difficult would it be to build a recommender system for TV shows at scale?

  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

• How difficult would it be to build a recommender system for TV shows at scale?

  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