Watchonlinemovies.com

module.exports = recommendMovies; // api.js const express = require('express'); const router = express.Router(); const recommendMovies = require('./recommendation.algorithm');

const userSchema = new mongoose.Schema({ name: String, email: String, password: String, movieHistory: [{ type: mongoose.Schema.Types.ObjectId, ref: 'Movie' }], ratings: [{ type: mongoose.Schema.Types.ObjectId, ref: 'MovieRating' }] });

// Get movies rated by similar users const recommendedMovies = []; similarities.forEach((similarity) => { const similarUser = similarity.user; const movies = similarUser.movieHistory; movies.forEach((movie) => { if (!userHistory.includes(movie)) { recommendedMovies.push(movie); } }); }); watchonlinemovies.com

// Return top 5 recommended movies return recommendedMovies.slice(0, 5); };

The movie recommendation system is a feature that suggests movies to users based on their viewing history and preferences. This feature aims to enhance the user experience by providing personalized movie recommendations. module

const calculateSimilarity = (ratings1, ratings2) => { // Implement a similarity calculation algorithm (e.g. cosine similarity) // For demonstration purposes, a simple algorithm is used const intersection = ratings1.filter((rating) => ratings2.includes(rating)); return intersection.length / ratings1.length; };

// Calculate similarity between users const similarUsers = await User.find().populate('ratings'); const similarities = similarUsers.map((similarUser) => { const similarUserRatings = similarUser.ratings; const similarity = calculateSimilarity(userRatings, similarUserRatings); return { user: similarUser, similarity }; }); cosine similarity) // For demonstration purposes, a simple

const movieSchema = new mongoose.Schema({ title: String, genre: String, ratings: [{ type: mongoose.Schema.Types.ObjectId, ref: 'MovieRating' }] });