Smart Adware and Product Recommendation using Object Detection

• Published in: 2022 IEEE International Conference on Data Science and Information System (ICDSIS) pp. 1 - 6
• Main Authors: Patil, Saish, Deshmukh, Saurabh, Yadav, Pranay, Chaudhari, Sheetal
• Format: Conference Proceeding
• Language: English
• Published: IEEE 29-07-2022
• Subjects: Data science; Machine Learning; Mean Average Precision; Object detection; Object Detection (OD); Object recognition; Recommendation System; Reverse Image Search API; Search engines; Search problems; Streaming media; Supervised learning; tags; Video Streaming; YOLO
• DOI: 10.1109/ICDSIS55133.2022.9915851

Object detection (OD) has been used in a number of different case studies. Many times, while viewing videos on a streaming platform, viewers may desire to learn more about a specific object or product. Many video streaming applications have been discovered to employ predefined tags or video titles to promote adverts to viewers, and these applications do not use OD to recommend products. Adding predetermined tags to videos can be time consuming and have an influence on the app's usefulness. To address this problem, this research proposes a novel approach that employs machine learning-based OD to identify potential objects/products that the recommendation module with mAP of 51.3 which can be used to find appropriate internet links.