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\n

\u5173\u952e\u8bcd：\u77ed\u89c6\u9891；\u63a8\u8350\u7cfb\u7edf；Python；Django<\/p>\n

\n

Design and Implementation of Short Video Intelligent Recommendation System Based on Python<\/p>\n

\n

Abstract<\/p>\n

\n

With the rise of short video platforms, users are faced with a vast array of video options, and improving user experience has become an essential issue. This study builds a short video intelligent recommendation system based on the Python language, utilizing the Django framework and MySQL database for data storage. It introduces a collaborative filtering recommendation algorithm to provide users with personalized video recommendations by analyzing their favorite\/bookmarking behaviors.<\/p>\n

The system's front-end is designed using JavaScript and HTML, while the back-end selects the Django framework. The development environment is PyCharm. Users can achieve personalized services through registration, login, and other functions. The MySQL database stores critical data such as user information, video information, and user bookmarks to support the system's recording and analysis of user behavior. The system employs a collaborative filtering algorithm to provide personalized video recommendations based on users' favorite\/bookmarking behaviors. Each bookmark in the system is recorded and serves as input for the algorithm, enabling the system to generate personalized recommendation lists based on users' historical behavior. This study provides a design approach for a collaborative filtering-based intelligent recommendation system for short video platforms, offering strong support for enhancing user engagement and reducing user selection costs.<\/p>\n

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Keywords:\u00a0Short Video;\u00a0Recommendation System; Python; Django<\/p>\n

1 \u7eea\u8bba<\/h2>\n

1.1 \u9879\u76ee\u80cc\u666f<\/h3>\n

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1.3\u00a0\u56fd\u5185\u5916\u7814\u7a76\u73b0\u72b6<\/h3>\n

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2\u00a0\u76f8\u5173\u5de5\u5177\u4ecb\u7ecd<\/h2>\n

2.1 Django\u6846\u67b6<\/h3>\n

Django\u7684ORM\u7cfb\u7edf\u4f7f\u5f97\u4e0e\u6570\u636e\u5e93\u7684\u4ea4\u4e92\u53d8\u5f97\u7b80\u5355\u548c\u76f4\u89c2，\u65e0\u9700\u7f16\u5199\u590d\u6742\u7684SQL\u8bed\u53e5，\u540c\u65f6\u4fdd\u6301\u4ee3\u7801\u7684\u7b80\u6d01\u548c\u6613\u4e8e\u7ef4\u62a4\u3002Django\u7684\u6838\u5fc3\u7ec4\u4ef6\u5305\u62ec\u6a21\u578b\u3001\u89c6\u56fe\u3001\u6a21\u677f\u548c\u7ba1\u7406\u5668\u3002\u6a21\u578b\u5b9a\u4e49\u4e86\u6570\u636e\u7684\u7ed3\u6784，\u89c6\u56fe\u8d1f\u8d23\u5904\u7406\u7528\u6237\u8bf7\u6c42\u5e76\u8fd4\u56de\u5408\u9002\u7684\u54cd\u5e94，\u6a21\u677f\u5219\u7528\u4e8e\u6e32\u67d3\u6700\u7ec8\u7684\u7528\u6237\u754c\u9762\u3002\u6b64\u5916，Django\u8fd8\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u7ba1\u7406\u5668，\u901a\u8fc7\u7b80\u5355\u7684\u914d\u7f6e\u5373\u53ef\u5b9e\u73b0\u5bf9\u5e94\u7528\u7a0b\u5e8f\u7684\u540e\u53f0\u7ba1\u7406\u529f\u80fd，\u4f7f\u5f97\u6570\u636e\u7684\u7ba1\u7406\u548c\u7ef4\u62a4\u53d8\u5f97\u8f7b\u677e[8]\u3002<\/p>\n

\n

2.2 MySQL\u6570\u636e\u5e93<\/h3>\n

MySQL\u7684\u7ba1\u7406\u5de5\u5177\u548c\u6587\u6863\u76f8\u5bf9\u4e30\u5bcc，\u4f7f\u5f97\u6570\u636e\u5e93\u7684\u7ba1\u7406\u548c\u7ef4\u62a4\u76f8\u5bf9\u7b80\u5355\u3002\u540c\u65f6，\u4e0ePython\u7684\u826f\u597d\u517c\u5bb9\u6027\u4f7f\u5f97\u5f00\u53d1\u4eba\u5458\u80fd\u591f\u66f4\u8f7b\u677e\u5730\u4e0e\u6570\u636e\u5e93\u8fdb\u884c\u4ea4\u4e92\u3002MySQL\u4ee5\u5176\u51fa\u8272\u7684\u6027\u80fd\u800c\u8457\u79f0，\u5bf9\u4e8e\u9700\u8981\u9891\u7e41\u8bfb\u5199\u64cd\u4f5c\u7684\u77ed\u89c6\u9891\u5e73\u53f0\u6765\u8bf4\u5c24\u4e3a\u91cd\u8981，\u5176\u4f18\u5316\u7684\u5b58\u50a8\u5f15\u64ce\u548c\u7d22\u5f15\u673a\u5236\u80fd\u591f\u63d0\u4f9b\u5feb\u901f\u7684\u6570\u636e\u68c0\u7d22\u548c\u5904\u7406\u80fd\u529b\u3002MySQL\u652f\u6301\u6c34\u5e73\u548c\u5782\u76f4\u7684\u6269\u5c55，\u80fd\u591f\u9002\u5e94\u5e73\u53f0\u4e0d\u65ad\u589e\u957f\u7684\u6570\u636e\u91cf\u548c\u7528\u6237\u6570\u91cf，\u8fd9\u5bf9\u4e8e\u77ed\u89c6\u9891\u5e73\u53f0\u6765\u8bf4\u662f\u81f3\u5173\u91cd\u8981\u7684，\u56e0\u4e3a\u968f\u7740\u7528\u6237\u548c\u5185\u5bb9\u7684\u589e\u52a0，\u6570\u636e\u5e93\u9700\u8981\u5177\u5907\u826f\u597d\u7684\u6269\u5c55\u6027，\u77ed\u89c6\u9891\u5e73\u53f0\u9700\u8981\u786e\u4fdd\u6570\u636e\u7684\u4e00\u81f4\u6027\u548c\u5b8c\u6574\u6027，MySQL\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u4e8b\u52a1\u652f\u6301，\u786e\u4fdd\u5728\u591a\u4e2a\u5e76\u53d1\u64cd\u4f5c\u4e2d\u6570\u636e\u7684\u6b63\u786e\u5904\u7406\u3002MySQL\u63d0\u4f9b\u4e86\u591a\u5c42\u6b21\u7684\u6570\u636e\u5b89\u5168\u6027，\u5305\u62ec\u7528\u6237\u6743\u9650\u7ba1\u7406\u3001\u52a0\u5bc6\u4f20\u8f93\u7b49\u529f\u80fd，\u786e\u4fdd\u7528\u6237\u6570\u636e\u7684\u5b89\u5168\u6027\u548c\u9690\u79c1\u4fdd\u62a4\u3002\u7531\u4e8eDjango\u6846\u67b6\u672c\u8eab\u5bf9MySQL\u6709\u5f88\u597d\u7684\u652f\u6301，\u56e0\u6b64\u9009\u62e9MySQL\u6570\u636e\u5e93\u4e0eDjango\u6846\u67b6\u642d\u914d\u4f7f\u7528，\u53ef\u4ee5\u66f4\u597d\u5730\u53d1\u6325\u4e24\u8005\u7684\u4f18\u52bf，\u63d0\u9ad8\u5f00\u53d1\u6548\u7387\u548c\u7cfb\u7edf\u7a33\u5b9a\u6027\u3002<\/p>\n

2.3\u00a0Python\u8bed\u8a00<\/h3>\n

Python\u7684\u8bed\u6cd5\u7b80\u5355\u6e05\u6670，\u5165\u95e8\u95e8\u69db\u8f83\u4f4e，\u4f7f\u5f00\u53d1\u4eba\u5458\u66f4\u5bb9\u6613\u4e0a\u624b\u3002Python\u662f\u4e00\u79cd\u8de8\u5e73\u53f0\u7684\u8bed\u8a00，\u53ef\u4ee5\u5728\u4e0d\u540c\u64cd\u4f5c\u7cfb\u7edf\u4e0a\u8fd0\u884c，\u8fd9\u6709\u52a9\u4e8e\u786e\u4fdd\u77ed\u89c6\u9891\u63a8\u8350\u7cfb\u7edf\u5728\u5404\u79cd\u73af\u5883\u4e0b\u7684\u7a33\u5b9a\u6027\u548c\u53ef\u79fb\u690d\u6027\u3002Python \u901a\u8fc7asyncio\u5e93\u63d0\u4f9b\u5bf9\u5f02\u6b65\u7f16\u7a0b\u7684\u826f\u597d\u652f\u6301，\u8fd9\u5bf9\u4e8e\u5904\u7406\u5927\u91cf\u7528\u6237\u5e76\u53d1\u8bf7\u6c42\u3001\u5b9e\u65f6\u63a8\u8350\u7b49\u573a\u666f\u975e\u5e38\u6709\u7528，\u6709\u52a9\u4e8e\u63d0\u5347\u7cfb\u7edf\u7684\u6027\u80fd\u3002Python\u4e0e\u591a\u79cd\u6570\u636e\u5e93\u7cfb\u7edf\u6709\u826f\u597d\u7684\u517c\u5bb9\u6027，\u5305\u62ecMySQL，\u8fd9\u4f7f\u5f97\u4f7f\u7528Python\u8bed\u8a00\u4e0eMySQL\u6570\u636e\u5e93\u76f8\u7ed3\u5408，\u80fd\u591f\u66f4\u52a0\u8f7b\u677e\u5730\u8fdb\u884c\u6570\u636e\u64cd\u4f5c\u548c\u7ba1\u7406\u3002<\/p>\n

2.4 \u534f\u540c\u8fc7\u6ee4\u63a8\u8350\u7b97\u6cd5<\/h3>\n

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3 \u9700\u6c42\u5206\u6790<\/h2>\n

3.1\u7cfb\u7edf\u529f\u80fd\u9700\u6c42<\/h3>\n

\u77ed\u89c6\u9891\u667a\u80fd\u63a8\u8350\u7cfb\u7edf\u6309\u4f7f\u7528\u5bf9\u8c61\u5212\u5206\u529f\u80fd\u6743\u9650，\u5b9e\u73b0\u529f\u80fd\u5982\u4e0b\u3002<\/p>\n

\u7528\u6237：\u6ce8\u518c\u767b\u5f55\u3001\u70ed\u95e8\u89c6\u9891\u63a8\u8350\u3001\u4ea4\u6d41\u8bba\u575b\u3001\u901a\u77e5\u516c\u544a\u3001\u4e2a\u4eba\u4e2d\u5fc3\u3001\u6211\u7684\u53d1\u5e03\u3001\u6211\u7684\u6536\u85cf，\u7528\u6237\u7528\u4f8b\u56fe\u5982\u56fe3-1\u6240\u793a\u3002<\/p>\n

\u7ba1\u7406\u5458：\u767b\u5f55\u3001\u4e2a\u4eba\u4e2d\u5fc3\u3001\u7528\u6237\u7ba1\u7406\u3001\u89c6\u9891\u7c7b\u522b\u7ba1\u7406\u3001\u70ed\u95e8\u89c6\u9891\u7ba1\u7406\u3001\u4ea4\u6d41\u8bba\u575b\u7ba1\u7406\u3001\u901a\u77e5\u516c\u544a\u7ba1\u7406，\u7ba1\u7406\u5458\u7528\u4f8b\u56fe\u5982\u56fe3-2\u6240\u793a\u3002<\/p>\n

\"\"<\/p>\n

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