Description:
- AdRelevance is a user-centric ad recommendation system designed to enhance ad recommendations based on historical user data.
- It optimizes ad suggestions by intelligently utilizing a cache system to improve real-time ad retrieval.
Key Features:
- Utilizes historical user data for ad recommendation.
- Implements a cache system for efficient real-time ad retrieval.
- Integrates NLP libraries such as NLTK and SpaCy for text analysis.
- Utilizes BeautifulSoup for web scraping and data extraction.
Usage:
- Integrated into advertising platforms for enhanced ad recommendation algorithms.
- Developers can utilize the cache system and NLP functionalities for custom ad recommendation solutions.
Dependencies:
- NLTK
- SpaCy
- BeautifulSoup