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.
“Click here to download our mobile app”—or similar phrasing—is a suggestion consumers see more and more often these days on company websites and in marketing emails. With more and more of us opting to conduct our online business on mobile devices, it’s not surprising that so many companies are developing dedicated mobile apps and are eager to promote them.
In fact, tech experts say that there are many industries and business functions that absolutely should have a mobile app not only to be competitive but also (and more importantly) to provide better, faster and more accessible service. Below, 16 members of Forbes Technology Council share the industries and business functions that definitely need a mobile app, and why.
As a professor of machine learning, I often get asked how I think artificial intelligence (AI) will change the world we’re living in. To answer this question, I usually find it easier to speak about one of the faster-moving fields of AI—digital advertising, in which AI has been around for quite some time but has always sat on the side of big tech. Now, as technology is becoming more available, you can see how it can potentially change the way we do things.
When setting out on a journey, it’s always wise to have a reliable roadmap. The same holds true when it comes to embarking on new tech projects and initiatives. And just as there’s considerable flexibility in terms of routes and guides when planning a trip, tech leaders and project managers have several choices when it comes to tools and techniques for plotting and refining a project roadmap.
With so many options available, a young tech leader or first-time project manager can benefit from the advice and experience of seasoned industry leaders. Below, 15 members of Forbes Technology Council share some roadmapping tools and techniques they’ve found effective and why they work so well.