CourseForMe

Introduction to Recomendation System Training Course

NobleProgUS
NobleProgUS

Detailed information

Type:Courses
Method:Onsite
Duration:7 Hour
Total hours of lesson:7
Requirements:Basic knowledge of e-commerce platforms (can be as a user of these platforms).
Students per class:6

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Course program

Challenges related to data collection
Information overload
Data types (video, text, structured data, etc...)
Potential of the data now and in the near future
Basics of Data Mining
Recommendation and searching
Searching and Filtering
Sorting
Determining weights of the search results
Using Synonyms
Full-text search
Long Tail
Chris Anderson idea
Drawbacks of Long Tail
Determining Similarities
Products
Users
Documents and web sites
Content-Based Recommendation i measurement of similarities
Cosine distance
The Euclidean distance vectors
TFIDF and frequency of terms
Collaborative filtering
Community rating
Graphs
Applications of graphs
Determining similarity of graphs
Similarity between users
Neural Networks
Basic concepts of Neural Networks
Training Data and Validation Data
Neural Network examples in recommender systems
How to encourage users to share their data
Making systems more comfortable
Navigation
Functionality and UX
Case Studies
Popularity of recommender systems and their problems
Examples

Course location

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