برمجة Java: إنشاء نظام ترشيح

Overview

هل تساءلت يومًا كيف يختار Netflix الأفلام التي يرشحها لك؟ أو كيف يرشح لك Amazon الكتب؟ يمكننا معرفة كيفية عمل ذلك من خلال إنشاء مرشِح مبسّط خاص بنا!

في هذا المساق التكميلي، ستعرض مهاراتك في حل المشكلات وبرمجة Java من خلال إنشاء أنظمة المرشِح. ستتعامل مع بيانات الأفلام، والتي تتضمن التقييمات، ولكن المبادئ المُتَضمَنة يمكن تكييفها بسهولة مع الكتب والمطاعم وغير ذلك. ستكتب برنامجًا يجيب على أسئلة خاصة بالبيانات، بما في ذلك أي عناصر ينبغي ترشيحها إلى المستخدم بناءً على تقييمه لعدة أفلام. مع وجود ملفات الإدخال الخاصة بتقييمات المستخدمين وعناوين الأفلام، ستتمكن من:

1. تسجيل البيانات وتحليلها إلى قوائم وخرائط؛

2. حساب متوسط التقييمات؛

3. حساب مدى تشابه مقيّم معين مع مستخدم آخر بناءً على التقييمات؛ و

4. ترشيح الأفلام إلى مستخدم معين بناءً على التقييمات.

5. عرض الأفلام المرشَحة لمستخدم معين على صفحة الويب.

Advantages and disadvantages

Advantages

Structured courses with graded quizzes, assignments and deadlines you can reset.
A shareable certificate from the university or company when you pay.
Financial aid is often approved for students in India (apply 15 days before you need it).
From Duke University, a well-regarded name.
Self-paced: start any time.

Disadvantages

Paid after a 7-day free trial (Coursera Plus or per course).
Some courses can be audited for free, but graded work and certificates need payment.
Taught in Arabic.

Some points apply to every course of this kind; see how we rank.

This course is paid. Here is how to take it for free

Free trials: You can start a 7-day free trial for many individual courses, Specializations, or a Coursera Plus subscription to test full course features. Cancel before the seventh day if you do not want to be charged.
Financial aid: If you cannot afford the fee for a certificate, you can apply for financial aid through the link on the course home page by filling out an application about your background and goals.

Duke University is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (86/100).

Similar courses

Compare these

Massachusetts Institute of Technology · YouTube

MIT 6.01SC Introduction to EECS I

Instructor: Dennis Freeman, Kendra Pugh This course provides an integrated introduction to electrical engineering and computer science, including modern software engineering, linear systems analysis, electronic circuits, and decision-making. The lecture videos provide an overview of each topic, whi…

Free video27 videos, 17 hours

Harvard University · edX

Fundamentals of TinyML

4.567 ratings

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

Free to audit5 weeks, 2 - 4 hours per week

Harvard University · edX

Introduction to Data Science with Python

4.3174 ratings

Learn the concepts and techniques that make up the foundation of data science and machine learning.

Free to audit8 weeks, 3 - 5 hours per week

Harvard University · edX

CS50's Introduction to Computer Science

An introduction to the intellectual enterprises of computer science and the art of programming.

Free to audit12 weeks, 5 - 14 hours per week

Harvard University · edX

Data Science: Building Machine Learning Models

4.4133 ratings

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Free to audit8 weeks, 2 - 3 hours per week

Harvard University · edX

CS50's Introduction to Programming with Python

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

Free to audit10 weeks, 3 - 6 hours per week