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recommendation engine 75% polished

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Mann Patel
2025-04-03 18:56:39 -06:00
parent 3537e698b1
commit 643b9e357c
11 changed files with 162 additions and 89 deletions
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5
backend/controllers/product.js
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@@ -33,7 +33,7 @@ exports.getAllProducts = async (req, res) => {
I.URL AS ProductImage,
C.Name AS Category
FROM Product P
JOIN Image_URL I ON p.ProductID = i.ProductID
JOIN Image_URL I ON P.ProductID = I.ProductID
JOIN User U ON P.UserID = U.UserID
JOIN Category C ON P.CategoryID = C.CategoryID;
`);
@@ -60,9 +60,10 @@ exports.getProductById = async (req, res) => {
try {
const [data] = await db.execute(
`
SELECT p.*, i.URL AS image_url
SELECT p.*,U.Name AS SellerName, i.URL AS image_url
FROM Product p
LEFT JOIN Image_URL i ON p.ProductID = i.ProductID
JOIN User U ON p.UserID = U.UserID
WHERE p.ProductID = ?
`,
[id],

39
backend/controllers/recommendation.js Normal file
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@@ -0,0 +1,39 @@
const db = require("../utils/database");
// TODO: Get the recommondaed product given the userID
exports.RecommondationByUserId = async (req, res) => {
const { id } = req.body;
try {
const [data, fields] = await db.execute(
`
SELECT
P.ProductID,
P.Name AS ProductName,
P.Price,
P.Date AS DateUploaded,
U.Name AS SellerName,
I.URL AS ProductImage,
C.Name AS Category
FROM Product P
JOIN Image_URL I ON P.ProductID = I.ProductID
JOIN User U ON P.UserID = U.UserID
JOIN Category C ON P.CategoryID = C.CategoryID
JOIN Recommendation R ON P.ProductID = R.RecommendedProductID
Where R.UserID = ?;`,
[id],
);
console.log(data);
res.json({
success: true,
message: "Products fetched successfully",
data,
});
} catch (error) {
console.error("Error finding products:", error);
return res.status(500).json({
found: false,
error: "Database error occurred",
});
}
};

2
backend/index.js
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@@ -6,6 +6,7 @@ const db = require("./utils/database");
const userRouter = require("./routes/user");
const productRouter = require("./routes/product");
const searchRouter = require("./routes/search");
const recommendedRouter = require("./routes/recommendation");
const { generateEmailTransporter } = require("./utils/mail");
const {
cleanupExpiredCodes,
@@ -36,6 +37,7 @@ checkDatabaseConnection(db);
app.use("/api/user", userRouter); //prefix with /api/user
app.use("/api/product", productRouter); //prefix with /api/product
app.use("/api/search_products", searchRouter); //prefix with /api/product
app.use("/api/Engine", recommendedRouter); //prefix with /api/
// Set up a scheduler to run cleanup every hour
setInterval(cleanupExpiredCodes, 60 * 60 * 1000);

8
backend/routes/recommendation.js Normal file
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@@ -0,0 +1,8 @@
// routes/product.js
const express = require("express");
const { RecommondationByUserId } = require("../controllers/recommendation");
const router = express.Router();
router.post("/recommended", RecommondationByUserId);
module.exports = router;

76
frontend/src/pages/Home.jsx
View File

@@ -1,12 +1,60 @@
import { useState, useEffect } from "react";
import { Link, useNavigate } from "react-router-dom";
import { Tag, Book, Laptop, Sofa, Utensils, Gift, Heart } from "lucide-react";
import { Tag, Heart } from "lucide-react";
const Home = () => {
const navigate = useNavigate();
const [listings, setListings] = useState([]);
const [recommended, setRecommended] = useState([]);
const [error, setError] = useState(null);
useEffect(() => {
const fetchrecomProducts = async () => {
// Get the user's data from localStorage
const storedUser = JSON.parse(sessionStorage.getItem("user"));
console.log(storedUser);
try {
const response = await fetch(
"http://localhost:3030/api/engine/recommended",
{
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({
id: storedUser.ID,
}),
},
);
if (!response.ok) throw new Error("Failed to fetch products");
const data = await response.json();
console.log(data);
if (data.success) {
setRecommended(
data.data.map((product) => ({
id: product.ProductID,
title: product.ProductName, // Use the alias from SQL
price: product.Price,
category: product.Category, // Ensure this gets the category name
image: product.ProductImage, // Use the alias for image URL
condition: "New", // Modify based on actual data
seller: product.SellerName, // Fetch seller name properly
datePosted: product.DateUploaded, // Use the actual date
isFavorite: false, // Default state
})),
);
} else {
throw new Error(data.message || "Error fetching products");
}
} catch (error) {
console.error("Error fetching products:", error);
setError(error.message);
}
};
fetchrecomProducts();
}, []);
useEffect(() => {
const fetchProducts = async () => {
try {
@@ -134,25 +182,25 @@ const Home = () => {
id="RecomContainer"
className="overflow-x-auto whitespace-nowrap flex space-x-6 scroll-smooth scrollbar-hide px-10 pl-0"
>
{listings.map((listing) => (
{recommended.map((recommended) => (
<Link
key={listing.id}
to={`/product/${listing.id}`}
key={recommended.id}
to={`/product/${recommended.id}`}
className="bg-white border border-gray-200 hover:shadow-md transition-shadow w-70 flex-shrink-0 relative"
>
<div className="relative">
<img
src={listing.image}
alt={listing.title}
src={recommended.image}
alt={recommended.title}
className="w-full h-48 object-cover"
/>
<button
onClick={(e) => toggleFavorite(listing.id, e)}
onClick={(e) => toggleFavorite(recommended.id, e)}
className="absolute top-2 right-2 p-2 bg-white rounded-full shadow-sm"
>
<Heart
className={`h-6 w-6 ${
listing.isFavorite
recommended.isFavorite
? "text-red-500 fill-red-500"
: "text-gray-400"
}`}
@@ -162,25 +210,25 @@ const Home = () => {
<div className="p-4">
<h3 className="text-lg font-medium text-gray-800 leading-tight">
{listing.title}
{recommended.title}
</h3>
<span className="font-semibold text-green-600 block mt-1">
${listing.price}
${recommended.price}
</span>
<div className="flex items-center text-sm text-gray-500 mt-2">
<Tag className="h-4 w-4 mr-1" />
<span>{listing.category}</span>
<span>{recommended.category}</span>
<span className="mx-2">•</span>
<span>{listing.condition}</span>
<span>{recommended.condition}</span>
</div>
<div className="flex justify-between items-center pt-2 border-t border-gray-100 mt-3">
<span className="text-xs text-gray-500">
{listing.datePosted}
{recommended.datePosted}
</span>
<span className="text-sm font-medium text-gray-700">
{listing.seller}
{recommended.seller}
</span>
</div>
</div>

10
frontend/src/pages/ProductDetail.jsx
View File

@@ -201,10 +201,7 @@ const ProductDetail = () => {
<Tag className="h-4 w-4 mr-1" />
<span>{product.Category}</span>
</div>
<div className="flex items-center text-gray-600">
<span className="font-medium">Condition:</span>
<span className="ml-1">{product.condition}</span>
</div>
<div className="flex items-center text-gray-600">
<Calendar className="h-4 w-4 mr-1" />
<span>Posted on {product.Date}</span>
@@ -287,11 +284,10 @@ const ProductDetail = () => {
</div>
<div>
<h3 className="font-medium text-gray-800">
{product.UserID || "Unknown Seller"}
{product.SellerName || "Unknown Seller"}
</h3>
<p className="text-sm text-gray-500">
Member since{" "}
{product.seller ? product.seller.memberSince : "N/A"}
Member since {product.SellerName}
</p>
</div>
</div>

56
frontend/src/pages/Settings.jsx
View File

@@ -415,64 +415,10 @@ const Settings = () => {
</div>
</div>
{/* Privacy Section */}
<div className="bg-white border border-gray-200 mb-6">
<div className="border-b border-gray-200 p-4">
<div className="flex items-center">
<Shield className="h-5 w-5 text-gray-500 mr-2" />
<h2 className="text-lg font-medium text-gray-800">Privacy</h2>
</div>
</div>
<div className="p-4">
<div className="space-y-4">
<div className="flex justify-between items-center pb-4 border-b border-gray-100">
<div className="flex items-start">
<Search className="h-5 w-5 text-gray-500 mr-2 mt-0.5" />
<div>
<h3 className="font-medium text-gray-800">Search History</h3>
<p className="text-sm text-gray-500">
Delete all your search history on StudentMarket
</p>
</div>
</div>
<button
onClick={() => handleDeleteHistory("search")}
className="bg-gray-100 hover:bg-gray-200 text-gray-700 font-medium py-2 px-4 flex items-center"
>
<Trash2 className="h-4 w-4 mr-1" />
Delete
</button>
</div>
<div className="flex justify-between items-center">
<div className="flex items-start">
<History className="h-5 w-5 text-gray-500 mr-2 mt-0.5" />
<div>
<h3 className="font-medium text-gray-800">
Browsing History
</h3>
<p className="text-sm text-gray-500">
Delete all your browsing history on StudentMarket
</p>
</div>
</div>
<button
onClick={() => handleDeleteHistory("browsing")}
className="bg-gray-100 hover:bg-gray-200 text-gray-700 font-medium py-2 px-4 flex items-center"
>
<Trash2 className="h-4 w-4 mr-1" />
Delete
</button>
</div>
</div>
</div>
</div>
{/* Delete Account (Danger Zone) */}
<div className="bg-white border border-red-200 mb-6">
<div className="border-b border-red-200 p-4 bg-red-50">
<h2 className="text-lg font-medium text-red-700">Danger Zone</h2>
<h2 className="text-lg font-medium text-red-700">Danger Zone !!!</h2>
</div>
<div className="p-4">

7
mysql-code/Schema.sql
View File

@@ -61,7 +61,7 @@ CREATE TABLE Review (
),
Date DATETIME DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (UserID) REFERENCES User (UserID),
FOREIGN KEY (ProductID) REFERENCES Product (ProductID)
FOREIGN KEY (ProductID) REFERENCES Pprint(item[0])roduct (ProductID)
);
-- Transaction Entity (Many-to-One with User, Many-to-One with Product)
@@ -77,16 +77,17 @@ CREATE TABLE Transaction (
-- Recommendation Entity (Many-to-One with User, Many-to-One with Product)
CREATE TABLE Recommendation (
RecommendationID_PK INT PRIMARY KEY,
RecommendationID_PK INT AUTO_INCREMENT PRIMARY KEY,
UserID INT,
RecommendedProductID INT,
Date DATETIME DEFAULT CURRENT_TIMESTAMP,
FOREIGN KEY (UserID) REFERENCES User (UserID),
FOREIGN KEY (RecommendedProductID) REFERENCES Product (ProductID)
);
-- History Entity (Many-to-One with User, Many-to-One with Product)
CREATE TABLE History (
HistoryID INT PRIMARY KEY,
HistoryID INT AUTO_INCREMENT PRIMARY KEY,
UserID INT,
ProductID INT,
Date DATETIME DEFAULT CURRENT_TIMESTAMP,

BIN
recommondation-engine/__pycache__/app.cpython-313.pyc Normal file
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Binary file not shown.

41
recommondation-engine/example1.py → recommondation-engine/app.py
View File

@@ -4,6 +4,7 @@ import mysql.connector
from sklearn.metrics.pairwise import cosine_similarity
import numpy as np
import logging
from unittest import result
def database():
db_connection = mysql.connector.connect(
@@ -83,27 +84,57 @@ def get_user_history(user_id):
return final
def get_recommendations(user_id, top_n=40):
def get_recommendations(user_id, top_n=10):
try:
# Get all products and user history with their category vectors
all_products = get_all_products()
user_history = get_user_history(user_id)
# if not user_history:
# # Cold start: return popular products
# return get_popular_products(top_n)
# Calculate similarity between all products and user history
user_profile = np.mean(user_history, axis=0) # Average user preferences
similarities = cosine_similarity([user_profile], all_products)
# finds the indices of the top N products that have the highest
# cosine similarity with the user's profile and sorted from most similar to least similar.
product_indices = similarities[0].argsort()[-top_n:][::-1]
print("product", product_indices)
# Get the recommended product IDs
recommended_products = [all_products[i][0] for i in product_indices] # Product IDs
# Upload the recommendations to the database
history_upload(user_id, product_indices) # Pass the indices directly to history_upload
# Return recommended product IDs
return [all_products[i][0] for i in product_indices] # Product IDs
return recommended_products
except Exception as e:
logging.error(f"Recommendation error for user {user_id}: {str(e)}")
# return get_popular_products(top_n) # Fallback to popular products
def history_upload(userID, anrr):
db_con = database()
cursor = db_con.cursor()
try:
for item in anrr:
#Product ID starts form index 1
item_value = item + 1
print(item_value)
# Use parameterized queries to prevent SQL injection
cursor.execute(f"INSERT INTO Recommendation (UserID, RecommendedProductID) VALUES ({userID}, {item_value});")
# Commit the changes
db_con.commit()
# If you need results, you'd typically fetch them after a SELECT query
# results = cursor.fetchall()
# print(results)
except Exception as e:
print(f"Error: {e}")
db_con.rollback()
finally:
# Close the cursor and connection
cursor.close()
db_con.close()

7
recommondation-engine/server.py
View File

@@ -1,6 +1,8 @@
from flask import Flask, request, jsonify
from flask_cors import CORS
from example1 import get_recommendations
from app import get_recommendations
from app import history_upload
import time
@@ -18,8 +20,7 @@ def handle_session_data():
if not user_id or not email or is_authenticated is None:
return jsonify({'error': 'Invalid data'}), 400
print(get_recommendations(user_id))
time.sleep(2)
get_recommendations(user_id)
print(f"Received session data: User ID: {user_id}, Email: {email}, Authenticated: {is_authenticated}")
return jsonify({'message': 'Session data received successfully'})