Bonusly Reviews

Taste Reviews

Bonusly mentions (4)

• Giving recognition 👏 for employees in remote teams 🌎

  Any experience with rewarding systems for recognition? Have anyone used tools like bonusly ? Source: over 2 years ago

• Rewards and recognition for employees🏆

  Any recommendation on rewarding tools? Do taco, bonusly (or other similar tools) actually work? Thoughts on rewarding with 💰to incentive recognition? Source: over 2 years ago

• I initiated a punch system in my office.

  My company instituted Bonusly and honestly its been great to have a system similar to what you are talking about. A way to give people 5-10 credits of recognition publicly so that it can add up to a $10 gift card after 10-20 "gifts" so far has been a great way to encourage each other to be helpful. Source: over 2 years ago

• 15 Best Slack Apps for the Future of Work

  Bonusly is an employee recognition and rewards platform that allows you to show appreciation to your team through redeemable points and digital gift cards across hundreds of brands. Recognize new hires, birthdays, team milestones, work anniversaries, and any other celebration in your company culture through one easy-to-manage system, and automate insights on your rewards and recognition trends across the team. - Source: dev.to / 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: almost 3 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: almost 3 years ago