Venue category recommendation is an essential application for the tourism and advertisement industries, wherein it may suggest attractive localities within close proximity to users’ current location. Considering that many adults use more than three social networks simultaneously, it is reasonable to leverage on this rapidly growing multi-source social media data to boost venue recommendation performance. Another approach to achieve higher recommendation results is to utilize group knowledge, which is able to diversify recommendation output. Taking into account these two aspects, we introduce a novel cross-network collaborative recommendation framework C 3R, which utilizes both individual and group knowledge, while being trained on data from multiple social media sources. Group knowledge is derived based on new crosssource user community detection approach, which utilizes both inter-source relationship and the ability of sources to complement each other. To fully utilize multi-source multi-view data, we process user-generated content by employing state-of-the-art text, image, and location processing techniques. Our experimental results demonstrate the superiority of our multi-source framework over state-of-the-art baselines and different data source combinations. In addition, we suggest a new approach for automatic construction of inter-network relationship graph based on the data, which eliminates the necessity of having pre-defined domain knowledge
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.
Many of today’s consumers prefer using digital payment methods such as Apple Pay, PayPal or Venmo to make the purchasing process more convenient. As a business owner, accepting these types of payments can signal to customers that you have a modern, streamlined checkout process. However, customers may lose trust in your brand if your digital payment system isn’t working properly or if there is ever a security breach.
If you do decide to accept digital payment methods, there are a few important things to consider and set up first. Below, a panel of Forbes Technology Council members offers their best advice for ensuring a secure and easy digital payment process.
How fast is quantum computing? By some estimates, quantum computers may be 158 million times faster than the fastest current supercomputer. Many of us may think such power is destined to be a tool used solely for complex scientific calculations, but it may soon play a significant role in functions and industries that impact our everyday lives. Further, while quantum technology could play a tremendous role in improving everything from human health to energy exploration, in unscrupulous hands, our increasingly digital work and personal lives could be at added risk.
Tech experts are clear: The time to prepare for the impacts of quantum computing (both good and bad) is now. Below, 12 members of Forbes Technology Council discuss some of the industries and focuses that could soon be revolutionized by quantum computing.
“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.