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=leftI think OpenAI is not being honest about the diminishing returns of scaling AI with…
S8UL Esports, the Indian esports and gaming content organisation, won the ‘Mobile Organisation of the…
The Tech Panda takes a look at recent funding events in the tech ecosystem, seeking…
Colgate-Palmolive (India) Limited, the oral care brand, launched its Oral Health Movement. The AI-enabled initiative…
This fast-paced business world belongs to the forward thinking organisations that prioritise innovation and fully…
In the rapidly evolving financial technology landscape, innovative product studios are emerging as powerful catalysts…