43 - Random Movie/Book Recommender

Description

Create a random movie/book recommender that displays a list of recommended movies or books with titles, genres, and ratings, offers a way for users to filter recommendations based on genre preferences, allows users to save favorites for later viewing or reading, and integrates with external APIs to fetch movie or book data.

Algorithm

1. Create a React component for the recommender

2. Define the data structure for movies/books (title, genre, rating, etc.)

3. Use an external API (e.g. TMDB for movies, Goodreads for books) to fetch data

4. Create a function to generate random recommendations

5. Create a filter function to filter recommendations by genre

6. Create a favorite-saving function to save user favorites

7. Render the list of recommendations with filter and favorite options

Classes

• Recommender: The main recommender component

• Recommendation: A single recommendation component (movie or book)

• Filter: The filter component for genre selection

• Favorite: The favorite component for saving favorites

Code

Recommender.js

import React, { useState, useEffect } from 'react';
import Recommendation from './Recommendation';
import Filter from './Filter';
import Favorite from './Favorite';

const Recommender = () => {
  const [recommendations, setRecommendations] = useState([]);
  const [genreFilter, setGenreFilter] = useState('');
  const [favorites, setFavorites] = useState([]);

  useEffect(() => {
    fetch('<url-to-fetch>')
      .then(response => response.json())
      .then(data => setRecommendations(data.results));
  }, []);

  const generateRandomRecommendations = () => {
    const randomRecommendations = [];
    for (let i = 0; i < 5; i++) {
      const randomIndex = Math.floor(Math.random() * recommendations.length);
      randomRecommendations.push(recommendations[randomIndex]);
    }
    return randomRecommendations;
  };

  const filterRecommendations = (genre) => {
    setGenreFilter(genre);
    const filteredRecommendations = recommendations.filter((recommendation) => recommendation.genre === genre);
    return filteredRecommendations;
  };

  const saveFavorite = (recommendation) => {
    setFavorites([...favorites, recommendation]);
  };

  return (
    <div>
      <Filter onFilterChange={filterRecommendations} />
      <ul>
        {generateRandomRecommendations().map((recommendation) => (
          <Recommendation
            key={recommendation.id}
            recommendation={recommendation}
            onSaveFavorite={saveFavorite}
          />
        ))}
      </ul>
      <Favorite favorites={favorites} />
    </div>
  );
};

export default Recommender;

Recommendation.js

import React from 'react';

const Recommendation = ({ recommendation, onSaveFavorite }) => {
  return (
    <li>
      <h3>{recommendation.title}</h3>
      <p>{recommendation.genre}</p>
      <p>{recommendation.rating}</p>
      <button onClick={() => onSaveFavorite(recommendation)}>Save Favorite</button>
    </li>
  );
};

export default Recommendation;

Filter.js

import React from 'react';

const Filter = ({ onFilterChange }) => {
  const [genre, setGenre] = useState('');

  const handleFilterChange = (event) => {
    setGenre(event.target.value);
    onFilterChange(genre);
  };

  return (
    <select value={genre} onChange={handleFilterChange}>
      <option value="">All Genres</option>
      <option value="action">Action</option>
      <option value="comedy">Comedy</option>
      <option value="drama">Drama</option>
    </select>
  );
};

export default Filter;

Favorite.js

import React from 'react';

const Favorite = ({ favorites }) => {
  return (
    <ul>
      {favorites.map((favorite) => (
        <li key={favorite.id}>{favorite.title}</li>
      ))}
    </ul>
  );
};

export default Favorite;

Explanation

The code creates a random movie/book recommender that displays a list of recommended movies or books with titles, genres, and ratings, offers a way for users to filter recommendations based on genre preferences, allows users to save favorites for later viewing or reading, and integrates with external APIs to fetch movie or book data. The component uses the useState hook to manage the recommendations, genre filter, and favorites.

Possible Future Enhancements

• Add support for user authentication and personalized recommendations

• Add support for more advanced filtering options (e.g. rating, release date)

• Add support for movie/book reviews and ratings