Introduction to Recommendation Systems Training Course
Course
In City Of London
Description
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Type
Course
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Location
City of london
Audience
Marketing department employees, IT strategists and other people involved in decisions related to the design and implementation of recommender systems.
Format
Short theoretical background follow by analysing working examples and short, simple exercises.
Facilities
Location
Start date
Start date
Reviews
Subjects
- Data Mining
- Networks
- Network
- Design
- Marketing
- Data Collection
- Web
- Systems
- Network Training
- Network Management
Course programme
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
- Searching and Filtering
- Sorting
- Determining weights of the search results
- Using Synonyms
- Full-text search
- Chris Anderson idea
- Drawbacks of Long Tail
- Products
- Users
- Documents and web sites
- Cosine distance
- The Euclidean distance vectors
- TFIDF and frequency of terms
- Community rating
- Applications of graphs
- Determining similarity of graphs
- Similarity between users
- Basic concepts of Neural Networks
- Training Data and Validation Data
- Neural Network examples in recommender systems
- Making systems more comfortable
- Navigation
- Functionality and UX
- Popularity of recommender systems and their problems
- Examples
Introduction to Recommendation Systems Training Course