This feature aims to improve the user experience by providing a more efficient and personalized way to discover videos.
@app.route("/recommend", methods=["GET"]) def recommend(): user_id = request.args.get("user_id") user = next((u for u in users if u["id"] == user_id), None) if user: viewing_history = user["viewing_history"] # Use the recommendation system to suggest videos distances, indices = nn.fit_transform(viewing_history) recommended_videos = [videos[i] for i in indices[0]] return jsonify(recommended_videos) return jsonify([]) BigTitsRoundAsses 25 01 18 Red Eviee XXX 720p M...
from flask import Flask, request, jsonify from sklearn.neighbors import NearestNeighbors This feature aims to improve the user experience