锦中融合门户系统

# 示例：基于Flask的校园智能助手后端

from flask import Flask, request, jsonify

import nltk

from nltk.chat.util import Chat, reflections

app = Flask(__name__)

# 定义一些简单对话规则

pairs = [

["你好", "你好！欢迎使用校园智能助手。"],

["课程表", "请告诉我你的学号，我帮你查询课程表。"],

["图书馆", "你可以访问图书馆官网获取最新信息。"],

["考试时间", "考试时间已发布，请查看教务系统。"]

]

chatbot = Chat(pairs, reflections)

@app.route('/chat', methods=['POST'])

def chat():

user_input = request.json.get('input')

response = chatbot.respond(user_input)

return jsonify({'response': response})

if __name__ == '__main__':

app.run(debug=True)

# 示例：使用spaCy进行实体识别

import spacy

nlp = spacy.load("zh_core_web_sm")

text = "我想查下周三的数学课。"

doc = nlp(text)

for ent in doc.ents:

print(ent.text, ent.label_)

# 示例：基于协同过滤的推荐算法（简化版）

from sklearn.metrics.pairwise import cosine_similarity

# 假设有一个用户-物品评分矩阵

ratings = {

'user1': {'math': 5, 'english': 3, 'history': 2},

'user2': {'math': 4, 'english': 4, 'history': 1},

'user3': {'math': 3, 'english': 5, 'history': 3}

}

# 计算用户之间的相似度

users = list(ratings.keys())

similarities = {}

for i in range(len(users)):

for j in range(i+1, len(users)):

userA = users[i]

userB = users[j]

common_items = set(ratings[userA].keys()) & set(ratings[userB].keys())

if not common_items:

continue

vectorA = [ratings[userA][item] for item in common_items]

vectorB = [ratings[userB][item] for item in common_items]

similarity = cosine_similarity([vectorA], [vectorB])[0][0]

similarities[(userA, userB)] = similarity

print(similarities)

# 示例：使用Neo4j构建校园知识图谱

from neo4j import GraphDatabase

driver = GraphDatabase.driver("bolt://localhost:7687", auth=("neo4j", "password"))

def create_course(tx):

tx.run("CREATE (c:Course {name: $name, teacher: $teacher})", name="数学", teacher="张老师")

def create_student(tx):

tx.run("CREATE (s:Student {id: $id, name: $name})", id="S12345", name="小明")

def link_student_to_course(tx):

tx.run("MATCH (s:Student {id: $id}), (c:Course {name: $name}) CREATE (s)-[:ENROLLED_IN]->(c)", id="S12345", name="数学")

with driver.session() as session:

session.write_transaction(create_course)

session.write_transaction(create_student)

session.write_transaction(link_student_to_course)