User profile learning, such as mobility and demographic profile learning, is of great importance to various applications. Meanwhile, the rapid growth of multiple social platforms makes it possible to perform a comprehensive user profile learning from different views. However, the research efforts on user profile learning from multiple data sources are still relatively sparse, and there is no large-scale dataset released towards user profile learning. In our study, we contribute such benchmark and perform an initial study on user mobility and demographic profile learning. First, we constructed and released a large-scale multi-source multimodal dataset from three geographical areas. We then applied our proposed ensemble model on this dataset to learn user profile. Based on our experimental results, we observed that multiple data sources mutually complement each other and their appropriate fusion boosts the user profiling performance.
In this technical demonstration, we showcase the first ai-driven social multimedia influencer discovery marketplace, called SoMin. The platform combines advanced data analytics and behavioral science to help marketers find, understand their audience and engage the most relevant social media micro-influencers at a large scale. SoMin harvests brand-specific life social multimedia streams in a specified market domain, followed by rich analytics and semantic-based influencer search. The Individual User Profiling models extrapolate the key personal characteristics of the brand audience, while the influencer retrieval engine reveals the semantically-matching social media influencers to the platform users. The influencers are matched in terms of both their-posted content and social media audiences, while the evaluation results demonstrate an excellent performance of the proposed recommender framework. By leveraging influencers at a large scale, marketers will be able to execute more effective marketing campaigns of higher trust and at a lower cost.
The exponential growth of online social networks has inspired us to tackle the problem of individual user attributes inference from the Big Data perspective. It is well known that various social media networks exhibit different aspects of user interactions, and thus represent users from diverse points of view. In this preliminary study, we make the first step towards solving the significant problem of personality profiling from multiple social networks. Specifically, we tackle the task of relationship prediction, which is closely related to our desired problem. Experimental results show that the incorporation of multi-source data helps to achieve better prediction performance as compared to single-source baselines.
From the classic novels of Isaac Asimov to the Star Wars franchise on the big screen, robots have been a fixture of futuristic science fiction for decades. Today, robots and robotic process automation are taking on new roles in both the business and consumer worlds. Innovations in robotics and RPA can expand the capabilities of humans and organizations, safely manage work and events that entail physical risk, and free up humans for more creative, fulfilling work.
Tech experts say advanced robots and RPA may soon revolutionize health care, environmental stewardship and even international travel. Here, 16 members of Forbes Technology Council share new and upcoming robotics innovations that could truly make a big difference in the way we live and work.
Leaders often want to get tasks done themselves to ensure quality and timely completion, but no leader can do it all. Delegating certain tasks to other members of your team frees up time so that you can get more accomplished and continue to grow in your leadership position. And as tech leaders play increasingly large roles in companies, it’s essential for them to embrace the art of delegation.
IT leaders have a lot of unique opportunities to delegate work, from automating repetitive tasks to appointing someone to oversee product management. Here, 14 members of Forbes Technology Council share some tasks IT leaders should get off their plates as soon as possible.
Not too long ago, I was asked to present a tool to some of my clients. It was a simple prototype, where a person would type in a few things (i.e., advertising channel, product and occasion), and in turn, the machine would give a number of sample ads. When I clicked the button, in just a few seconds, the machine spat out several ads complete with images and text. The first comment was, “Wow, that was really fast.” What would take a person a few hours to do, this machine did in but a fraction. There were a lot of other interesting comments, some even pointing out that this machine was really creative. Then one person spoke out, a comment that put the room into an uncomfortable silence, “This thing is going to take my job.”