Restaurant Recommender System based on Collaborative Filtering for Hyderabad residents
Recommender system or Recommendation systems are a subset of information filtering system that used to anticipate the ?evaluation? or ?Preference? that user would feed to an item.Nowadays using recommender systems is so widespread that we can say their usage is one of the most vital necessities of h
2025-06-28 16:28:57 - Adil Khan
Restaurant Recommender System based on Collaborative Filtering for Hyderabad residents
Project Area of Specialization Artificial IntelligenceProject SummaryRecommender system or Recommendation systems are a subset of information filtering system that used to anticipate the ‘evaluation’ or ‘Preference’ that user would feed to an item.Nowadays using recommender systems is so widespread that we can say their usage is one of the most vital necessities of human being. These systems have been made to help the users to choose the best alternative on the basis of their preferences. recommender systems were designed to generate suggestions such as items or services based on user interests. The major aim of this project will be to develop a restaurant recommender system based on Collaborative Filtering which will predict a user’s interest in opting restaurants on the basis of the scores generated and the correlation calculated between the users.This is unlike simple rating prediction based recommender system
Project ObjectivesThe major aim of this project will be to develop a restaurant recommender system based on Collaborative Filtering which will predict a user's interest in opting restaurants on the basis of the scores generated and the correlation calculated between the users.
Project Implementation MethodTentative algorithms: Clustering algorithm (K-means) and collaborative filtering algorithm.
Can change the methods.. according to data collection.
Benefits of the ProjectNowadays using recommender systems is so widespread that we can say their usage is one of the most vital necessities of human being. This system has been made to help the users to choose the best restaurant on the basis of their preferences.
Technical Details of Final DeliverableFinal project will be in the form of Android App and in Web app.
Final Deliverable of the Project Software SystemCore Industry FoodOther Industries Others Core Technology Artificial Intelligence(AI)Other Technologies Big DataSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Total in (Rs) | 2000 | |||
| API | Miscellaneous | 2 | 1000 | 2000 |