What Do I Buy That Makes Me Happy?
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This document discusses using various data sources like shopping transactions, bank statements, and clubcard information to analyze what products people buy and whether those purchases make them happy. It proposes linking this explicit consumer data on the semantic web in a machine-readable way using product and service ontologies. Sentiment analysis APIs could also be applied to better understand what types of items tend to make consumers happy. The future of this work involves adding semantic web rules and machine learning techniques.
What Do I Buy That Makes Me Happy?
- 1. WHAT DO I BUY THAT MAKES ME HAPPY? Radu Sora
- 2. SHOPPING TRANSACTION When, where and what did I buy? Did it make me happy?
- 3. BANK STATEMENTS Where did I shop and how much did I pay? Available as CVS 鍖les
- 4. CLUBCARDS What did I actually buy? Thanks to UK ODI we will soon be able to have this data!
- 5. What is a cake or a caramel macchiato
- 6. SEMANTIC WEB Link explicit data on the world wide web in a machine readable way
- 7. Product and Service Ontologies Opencyc, ProductOntology.org, Web Ontology for Products and Services
- 8. Tangible Item subClassOf Edible Item subClassOf Bakery Product subClassOf Cake
- 9. How do I know what makes me happy? Sentiment Analysis API
- 10. DEMO
- 20. Future Work Semantic Web Rules, Machine Learning
- 21. THANK YOU!