A WEB-BASED APPLICATION FOR PHOTO STUDIO RECOMMENDATION SYSTEM USING COLLABORATIVE FILTERING ALGORITHM WITH HAVERSINE FORMULA

Abstract

The existence of photo studios is important because they not only create images, but also provide creative experiences for individuals and businesses. In the ever-growing social media ecosystem, photo studios help individuals create a visual identity, while commercial photo studios provide visual solutions for brands to connect with their audiences. In the midst of these changes, photo studios have evolved from places where images are taken to creative spaces where visions and stories are realised. Choosing the right photo studio can be a daunting task for clients, especially those unfamiliar with the industry. With so many options available, customers may find it difficult to identify the right photo studio that meets their needs and provides quality services. In addition, customers may not have a clear understanding of the different types of photographic services offered by photo studios, or may have specific preferences that are difficult to articulate. This can make it difficult for businesses to effectively market their services and attract new customers. To address these issues, a recommendation system that uses collaborative filtering techniques can provide personalised recommendations to customers based on their preferences and previous interactions with the platform. By analysing a customer's preferences, such as the type of photography service required and location, the recommendation system can accurately match them with a photography studio that meets their specific requirements. Implementing such a recommendation system can lead to a better customer experience, increased customer satisfaction and ultimately better business results for photo studios. Customers will be able to discover new photo studios that match their preferences, while photo studios will be able to effectively market their services and connect with potential customers. In addition, the recommendation system can help bridge the gap between customers and photo studios, leading to better communication and understanding between the two parties.