Britnee Foreman’s Post

Is your company, name, brand or clients making headlines? Get to know that with Trokam! It provides a trend based on a daily snapshot of the news. In this example, you can go back to August 29 and learn why Nvidia got that much attention from the news media. Unlock the full potential of Trokam. While it's compatible with mobile device browsers, the best user experience is guaranteed on a desktop browser. Try it now at trokam.com. #nvidia #news #trends

In recommendation systems, user actions (eg, skip, like, dislike) provide an important signal about user preference, but can also quickly become unwieldy. Learn how we’ve applied transformers’ ability to process sequences of data to improve YouTube Music →https://goo.gle/4czHRRM

In this episode, Cat and Jess travel with PixelH8 through his new album, track by track, and learn crazy tales like how his first acting gig, on the set of a Tollywood movie, led to him programming a song on decommissioned missile hardware. We'll also discuss the how’s and whys of his departure from music and everything that happened in between, the various eras of chiptune music, his work reclaiming computer chips from dying consoles to build new instruments, spending six hours to make an anime sound on the NES, and much more. https://lnkd.in/eVBTm-Jf

Impressive application of transformers in recommendation systems, but let’s get real—how do you handle the "echo chamber" effect this might amplify? Sure, you’re improving accuracy, but are you also narrowing users’ musical horizons to an algorithmically curated playlist of predictability? Transforming data into user satisfaction is great, but how about transforming occasional surprise into the mix? And about those user actions—are we prioritizing quality of engagement or just volume? Curious minds would love to know if you’re pushing the boundaries or just reinforcing them. #AlgorithmEthics #UserExperience #BeyondTheEchoChamber

YouTube Music: My Personal DJ I'm constantly amazed by how well YouTube Music understands my musical moods. Whether I'm on a road trip, chilling at night, or hitting the gym, it's like having a personal DJ who knows exactly what to play. The algorithm has nailed my preferences for car trips, nighttime lo-fi, and workout jams. It's the perfect soundtrack for every part of my day! #YouTubeMusic #SmartRecommendations

What about quantum based on quantum inspired recommendation systems! The following approach suggests one such recommendation system: https://lnkd.in/gi8EG82C Do you think that practical quantum recommendation system will soon be a reality? Write your views in the comments section. Follow for more such interesting ideas about quantum computing and related research. #quantumcomputing #recommendersystem #quantumrecommendersystem

In recommendation systems, user actions (e.g., skip, like, dislike) provide an important signal about user preference, but can also quickly become unwieldy. Learn how we’ve applied transformers’ ability to process sequences of data to improve YouTube Music →https://goo.gle/4czHRRM

Lessons from the 90s: Lesson 3 | Sony MS Walkman | 1999 As your customers’ needs evolve, so must your product or service, otherwise you get left behind. Sony were the leaders in portable music devices through the 80’s and 90’s. They led in the concept of being able to take music anywhere with their Walkman cassette and CD players. Sony weren’t the first to launch an MP3 player but in 1999 they did. Unfortunately, they’d lost the Voice of the Customer and instead of a simple, accessible piece of tech that anyone could use (the Walkman), their new MP3 player was tech driven, tricky to use and only played a Sony file type. By the early 2000’s they’d been leapfrogged and left behind by Apple with the iPod – a truly customer centric product based on the idea of “1000 songs in your pocket” and a library of music that was easy to access. How are you making sure your Customers (the right ones) remain central to the work of your business? https://lnkd.in/gfX8bXTc

How to reduce the size of #WAV files before you use for on hold music and how to make it compatible with any modern or legacy #pbx #onhold phone system #support #business

How to reduce the size of #WAV files before you use for on hold music and how to make it compatible with any modern or legacy #pbx #onhold phone system #support #business