The restaurant industry has seen a surge in the use of coupon based marketing strategies in recent years. These strategies are employed to attract and retain customers. Traditional coupon recommendation systems have a significant limitation as they do not take into account the importance of contextual information in delivering personalized and relevant offers. A context-based coupon recommender system specifically designed for restaurants has been presented in this paper. This approach ensures that customers receive offers that are not only attractive, but also relevant to their specific circumstances. This system can significantly enhance the effectiveness of coupon-based marketing strategies. Through experimentation, it has been observed that the proposed recommender system performs significantly better than the systems in which context is not considered. Thus the proposed recommender system can help restaurants attract more customers, increase customer loyalty, and ultimately boost their bottom line.