The software looks at your LinkedIn network to identify professionals with similar career paths and produces personalized recommendations of both companies and roles. LinkedVis is developed using lightweight natural language processing and entity resolution using semantic information from a variety of end-points on the web. Various elements of the recommendation algorithm are exposed to the user through an interactive interface. User then will have the capability to manipulate different aspects and the data it operates on,allowing users to explore a variety of “what-if” scenarios around their current profile.
LinkedVis is tested on a data corpus collected from 47 users and their LinkedIn connections, as well as through a supervised study of 27 users exploring their own profile and recommendations interactively. The authors state that, the results are quite satisfactory in terms of accuracy and diversity.
position=leftEvery time Bitcoin summits a new high price, the collective room does the same dance:…
India’s space sector is stepping boldly into a new era, with private players taking center…
As AI becomes central to search, decision-making, and even creative work, the question isn’t just…
Imagine a kitchen where a robotic arm dices onions, a vision system judges the perfect…
Researchers looked at a million ChatGPT interaction logs and concluded that after creative composition, the most popular…
A recent news informs that some therapists are now secretly using ChatGPT during therapy sessions.…