app.post('/users', (req, res) => { const user = new User(req.body); user.save((err) => { if (err) { res.status(400).send(err); } else { res.send({ message: 'User created successfully' }); } }); });
const recommend = async (userId) => { const user = await User.findById(userId); const viewingHistory = user.viewingHistory; const ratings = user.ratings; const preferences = user.preferences;
return recommendedContentHybrid; };
const _ = require('lodash'); const User = require('./models/User');
app.get('/api/recommendations', async (req, res) => { const userId = req.query.userId; const recommendedContent = await recommend(userId); res.send(recommendedContent); }); This feature development plan outlines the requirements, technical requirements, and implementation plan for the personalized watchlist recommendations feature. The example code snippets demonstrate the user profiling, recommendation algorithm, user interface, and API integration. banflixvip
// Collaborative filtering const similarUsers = await User.find({ viewingHistory: { $in: viewingHistory } }); const recommendedContent = similarUsers.reduce((acc, similarUser) => { return acc.concat(similarUser.viewingHistory); }, []);
const userSchema = new mongoose.Schema({ id: String, viewingHistory: [{ type: String }], ratings: [{ type: String }], preferences: [{ type: String }] }); { const user = new User(req.body)
useEffect(() => { axios.get('/api/recommendations') .then((response) => { setRecommendedContent(response.data); }) .catch((error) => { console.error(error); }); }, []);
