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.
Most tech pros closely follow tech news and developments because of their passion for the field. However, tech leaders can’t rely solely on that innate curiosity to ensure their team members stay up to date on the latest industry developments. It’s essential to set aside time and provide resources for team members to explore cutting-edge, relevant tech trends to ensure your company remains competitive.
Creating a culture of learning not only contributes to your tech team members’ happiness and growth, but also ensures your team will continue to build products and services that customers truly need and want. Below, 16 members of Forbes Technology Council detail the ways they ensure their teams stay ahead of the game in terms of new technology and trends.
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.