E-business: Recommender systems

 

There are two typical recommender systems which produce a list of recommendations in one of two ways – by collaborative filtering and content-based approach or personality.

The collaborative filtering approaches construct a past behavior pattern of a user (items previously purchased or selected and / or numerical ratings given these elements) and similar decisions taken by other users. This model is then used to predict the elements (or component marks) that the user may have an interest in filtering content based approaches use a series of discrete characteristics of an element to recommend other items with similar properties. The approach based on personality preferences derived products and services to a user’s personality.

Prof. Gottfried also introduced the concept of TF.IDF (Term Frequency Inverse Document Frequency) measure. TF.IDF is a numerical statistic that is intended to reflect the importance of a word is to a document in a collection or corpus. It is often used as a weighting factor in information retrieval and text mining. The value increases with the number of times a word appears in the document, but is offset by the frequency of the word in the body, which helps to account for the fact that certain words appear more frequently in general-IDF.

 

  • Example of applying recommender systems
  • Ant-Man_poster

Ant-Man is a 2015 American superhero film based on the Marvel Comics characters of the same name: Scott Lang and Hank Pym. The film was directed by Peyton Reed, with a screenplay by Edgar Wright & Joe Cornish and Adam McKay & Paul Rudd.

I will set it item profiles to match the purpose of content-based recommendation

A movie profile will be looking as follows – (by using Ant-Man as a sample)

  1. Category: Action, 3D, Adventure, Comedy, Sci-Fi
  2. Certificate: PG
  3. Film Metascores:64
  4. Rate:7.4
  5. Popularity:198
  6. Runtime: 117 min
  7. Color: Color
  8. Aspect Ratio: 1.85:1
  9. Production company: Marvel Studios
  10. Directed by:Peyton Reed
  11. Distributed by: Walt Disney Studios Motion Pictures
  12. Country: USA
  13. Language: English
  14. Year of movie:2015
  15. Produced by: Kevin Feige
  16. Story by: Edgar Wright, Joe Cornish
  17. Screenplay by: Edgar Wright, Joe Cornish, Adam McKay, Paul Rudd
  18. Story by: Edgar Wright Joe Cornish
  19. Starring: Paul Rudd, Evangeline Lilly, Corey Stoll, Boby Cannavale, Michael Pena, Tip Haris, Anthony Mackie, Wood Harris, Judy Greer, David Dastmalchian, Michael Douglas
  20. Music by: Christophe Beck
  21. Cinematography: Russell Carpenter
  22. Edited by Dan Lebental, Colby Parker

 

Or

A book profile will be similar as follows – (using Harry Potter as a sample book)

HarryPotter

  1. Book name: Harry Potter
  2. Category: Fiction
  3. Hardcover: 320 pages
  4. Publisher: Arthur A. Levine books;; Special Rehearsal Ed. Edition (31.07.2016)
  5. Language: English
  6. ISBN-10:1338099132
  7. ISBN-13: 978-1338099133
  8. Shipping weight: 1.5pound
  9. Average customer review: 3
  10. Best Sellers Rank: 1
  11. Price: 33.1
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