Ade Idowu

Reinforcement Learning (RL) has emerged as a transformative sub-field in AI/ML, driving breakthroughs in areas ranging from autonomous robotics to personalized recommendation systems.

Over the last decade, the commercial use of recommendation engines/systems by business has grown substantially, enabling the flexible and accurate recommendation of items/services to users.

The need to develop robust document/text similarity measure solutions is an essential step for building applications such as Recommendation Systems, Search Engines, Information Retrieval Systems including other ML/AI applications such as News Aggregators or Automated Recruitment systems used to...