# Sample movie data movies = { 'movie1': [1, 2, 3], 'movie2': [4, 5, 6], # Add more movies here }

@app.route('/recommend', methods=['POST']) def recommend(): user_vector = np.array(request.json['user_vector']) nn = NearestNeighbors(n_neighbors=3) movie_vectors = list(movies.values()) nn.fit(movie_vectors) distances, indices = nn.kneighbors([user_vector]) recommended_movies = [list(movies.keys())[i] for i in indices[0]] return jsonify(recommended_movies)

app = Flask(__name__)

from flask import Flask, request, jsonify from sklearn.neighbors import NearestNeighbors import numpy as np

if __name__ == '__main__': app.run(debug=True) The example provided is a basic illustration. A real-world application would require more complexity, including database integration, a more sophisticated recommendation algorithm, and robust error handling.

erick

thanks for the support! ,however this moment i have Zenok Free Antivirus 2012 good is the second version i think but ..recommend ... cheers!

ramnadh

Thanks for your information. I will made a look at Zenok.

Nasreldin sulieman

thankyou for offering agood services for us i do use comodo for long time but it has no problem at all

Esther

What antivirus protection program can be used for Windows 2000 Professional?

ramnadh

latest version of most popular antivirus programs will work fine with Windows 2000.

abhay

I think for windows 7 it is avira or avast is the best option.or if you want to purchase buy kaspersky it is also the best but not free . any way have a nice day!!