You can use Walls.io at events, in shops, hotels, restaurants and offices, for your hashtag campaign, and even embed it on your website.
🔖 Tell your brand’s story with content aggregation 💎 Stay in control with automatic curation and moderation 🎨 Improve brand awareness with a custom feed 📺 Display your content anywhere, anytime ➡ GDPR & CCPA compliant solution
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We lately used it at a job fair and it was a huge draw. We also use it on an ongoing basis to show our social media presence quickly without having to pull up the individual platforms. All in all, I found it the quickest way to present what I wanted to a variety of audiences. It's a great social media engagement tool.
I like that we can curate content using both a hashtag and a social feed. Being able to combine content from more than one place keeps content fresh, and use of a hashtag makes posting easy for end-users.
Based on our record, Taste should be more popular than Walls.io. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Awesome thing! We're adding Mastodon support to https://walls.io/ next week - will allow you to track hashtags and create a Mastodon social wall content feed to embed as widget on your website or run on a screen/display! 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
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