Recommendation Systems - Why How and Real Life Applications
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The document outlines the significance of recommendation systems, highlighting their importance in personalizing user experiences across various industries such as fashion, film, music, and dating. It discusses key methods and algorithms, including user-based collaborative filtering and item-based similarity, while presenting real-life applications like those used by Netflix, Pandora, and Google. The presentation promotes Curtain, a mobile app designed to offer personalized fashion recommendations, and emphasizes the shift towards tailored solutions in the age of recommendations.
Recommendation Systems - Why How and Real Life Applications
- 1. Recommendation Systems As presented at MIT - Data Analytics Club Liron Zighelnic Massachusetts Institution of Technology
- 2. Start discovering fashion you will LOVE! Agenda â or: do you want to stay? ⢠What is recommendation systems? ⢠Why recommendations are important? ⢠Main methods and algorithms ⢠Real life applications & who use it? (the question should be: who doesnât?)
- 3. Start discovering fashion you will LOVE! About me ⢠The Co-founder and CEO of CurtainApp ⢠An MBA candidate at MIT with a passion for business and technology ⢠Did my undergrad in Engineering and Masters in Information Retrieval (Search engine algorithms) ⢠Have ten years of experience in tech, including software development, technology management and product management, in a variety of industries including military, intelligence, mobile, venture capital and consulting. ⢠LinkedIn: linkedin.com/in/lironzighelnic ⢠Email: liron.zighelnic@gmail.com
- 4. Start discovering fashion you will LOVE! About Curtain ⢠Curtain is an intelligent mobile app that learns your taste and gives you personal fashion recommendations, making shopping fun and efficient ⢠From the technology side we do Recommendation Algorithms, NLP, Information Retrieval and a lot of fun ⢠Register to the beta at: www.curtainapp.com ⢠Join us on Facebook: facebook.com/CurtainApp ⢠Follow us on Twitter: twitter.com/thecurtainapp
- 5. Start discovering fashion you will LOVE! Why recommendations are important? âWe are leaving the age of information and entering the age of recommendationâ Chris Anderson âThe Long Tailâ
- 6. Start discovering fashion you will LOVE! Why recommendations are important? ⢠The world move from âone size fits allâ solutions to personal tailor made solutions ⢠Users LOVE recommendations â 44% of consumers âstrongly agreeâ or âagreeâ that they want product recommendations based on past purchases1 1. Based on a survey done by Walker Sands and published in the 2014 Future of Retail study
- 7. Start discovering fashion you will LOVE! Why recommendations are important? The paradox of choices Source: Sandglaz.com
- 8. Start discovering fashion you will LOVE! Main methods and algorithms: User-based collaborative filtering 5 1 5 1 3 4 5 5 4 2 4 5 5 1 4 1 1 E.g., K-nearest neighbors
- 9. Start discovering fashion you will LOVE! Main methods and algorithms â cont.: Item- based similarity How to calculate vector similarity? E.g., Cosine similarity
- 10. Start discovering fashion you will LOVE! Real life applications ⢠There are SO many applications, almost in every field you can think of ⢠We are going to speak about a few
- 11. Start discovering fashion you will LOVE! Real life applications - dating ⢠OkCupid uses recommendation algorithms to be the âultimate matchmakerâ or as they put it âwe use math to get you datesâ
- 12. Start discovering fashion you will LOVE! Real life applications - film recommendations ⢠Netflix uses algorithms for film recommendations ⢠E.g., someone who rented the romantic comedy â10 Things I Hate About Youâ might be presented with â50 First Datesâ ⢠The company set a competition called the Netflix Prize in which engineers and researchers competed on building the best algorithm to predict user ratings for films, based on previous ratings, for a $1M award
- 13. Start discovering fashion you will LOVE! Real life applications - music ⢠Pandora uses the properties of a song or artist to create a âradio- stationâ that plays music with similar properties ⢠It uses user feedback to refine the results, based on the attributes the user âlikesâ and âdislikesâ
- 14. Start discovering fashion you will LOVE! Real life applications - Google ⢠Many applications including: ⢠Google Search ⢠Google now ⢠Google news ⢠Recommendation generate 38% more click- through1 1. Source Xavier Amatriainâs blog
- 15. Start discovering fashion you will LOVE! Real life applications - fashion ⢠A very new domain ⢠Many of the known algorithms that were developed originally for book and movies are not relevant or should be further developed/adjusted
- 16. Start discovering fashion you will LOVE! Real life applications â fashion â Cont. ⢠Main applications: ⢠Suggesting items the user will like ⢠Suggesting items that will match the items the user already purchase helping the user to create an outfit
- 17. Start discovering fashion you will LOVE! What do you think? Is it important to have vertical solutions or can we come up with one algorithm that will be the best for all different domains?
- 18. Start discovering fashion you will LOVE! Questions?
- 19. Start discovering fashion you will LOVE! Recommended reading⌠⢠Recommender Systems Handbook by Francesco Ricci, Lior Rokach, Bracha Shapira,Paul B. Kantor ⢠TED talk: Barry Schwartz - The paradox of choice http://www.ted.com/talks/barry_sch wartz_on_the_paradox_of_choice?la nguage=en