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// Content-based filtering const contentMetadata = await ContentMetadata.find({ genres: { $in: preferences } }); const recommendedContentBased = contentMetadata.reduce((acc, content) => { return acc.concat(content.id); }, []);

const userSchema = new mongoose.Schema({ id: String, viewingHistory: [{ type: String }], ratings: [{ type: String }], preferences: [{ type: String }] }); banflixvip

import React, { useState, useEffect } from 'react'; import axios from 'axios'; const recommendedContentBased = contentMetadata.reduce((acc

const recommend = async (userId) => { const user = await User.findById(userId); const viewingHistory = user.viewingHistory; const ratings = user.ratings; const preferences = user.preferences; { return acc.concat(content.id)

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.

const _ = require('lodash'); const User = require('./models/User');