👉Beware of false knowledge; it is more dangerous than ignorance. Freelancers who wish to contribute original work voluntarily are welcome to send their write-ups at [ jkmonitornews@gmail.com ]

Computer scientists created a new algorithm to recommend tags for social media posts which should boost the popularity of the post in question. This algorithm takes into account more kinds of information than previous algorithms with a similar goal.

The result is a measurably improved view count for posts which use the tags recommended by this new algorithm. Such research could be useful commercially and for other researchers who study online behavior.

Xueting Wang is a postdoctoral researcher at the Yamasaki Laboratory.

As a keen user of social media sites, she was puzzled by how different posts by different people achieve notoriety or fade into obscurity.

Driven by this curiosity Wang, her colleague Yiwei Zhang and their supervisor, Associate Professor Toshihiko Yamasaki, investigated the relationship between social media content, the tags attached to content and the people who post it.

"It is well-known in our field that tags for social media posts are important," explained Wang.

"It's also known that the nature of these tags, and the relative popularity of the user in question, can impact the popularity of a post -- for example the number of views. What I wanted to do was come up with a system to recommend suitable tags for your posts that would demonstrably improve their popularity."

This is far easier said than done. Computers are exceptional at precisely defined mathematical tasks; however, some of the social concepts explored by the researchers, such as a user's popularity, are too vague for a computer to process directly.

Wang and team had to carefully define every aspect of the problem in mathematical terms for an algorithm to be possible.

"We had 60,000 publicly available images with tags, number of views and associated user data from photography website Flickr to experiment with," continued Wang.

"That gave us enough source data to make a system to score different user and image details, and assign numerical values to things. This meant we could perform different functions on the data."

Wang and team used this data to rank the effective success of a specific tag in contributing to the images view count.

Essentially, successful tags were recommended by this process that resulted in a 20-percent boost to the popularity of a post.

But what sets their approach apart from others is that it takes into account who created the post.

The system cleverly imitates the tagging behavior of people with high social popularity scores to recommend effective tags.

"The algorithm is called the 'user-aware folk popularity rank' and it is the first of its kind to be, as the name suggests, aware of the user in how it recommends tags," said Wang.

"We see from our results that carefully selected tags which express emotional impressions rather than just literal representations of the image content will be more effective. But all the tags the system produces are from an existing pool and it would be good to grow our system so it can generate new ideas."

About the Author:

Sheikh Aqib Farooq stands as a multifaceted professional with a wealth of experience in skill development, civil service training, and the art of commentary. His contributions have not only empowered individuals but have also enriched the intellectual discourse in the spheres he has engaged with.

Share your story, showcase your achievements! Join us for an exclusive interview where we celebrate exceptional individuals like you. Send us your bio-data, profile details, and accomplishments to jkmonitornews@gmail.com or WhatsApp at (+91-9906103001). Let's uncover the defining moments and milestones that have shaped your path to greatness. Your voice deserves to be heard - seize this opportunity to inspire the world!. 👇

EXCLUSIVE INTERVIEWS 👇