Foundations of Web Personalization and Recommender Systems Jill Freyne & Shlomo Berkovsky 25 July 2015 DIGITAL PRODUCTIVITY FLAGSHIP Outline Part 1: Introduction, Information Overload, User Modelling Part 2: Personalization for Information Filtering, Information Access & Content Delivery Part 3: Recommender Systems Part 1: Introduction, Information Overload, User Modelling Information Overload • Too much information to make a decision or remain informed Information Overload • Information presented at a rate too fast for a person to process • The state of having too much information to make a decision or remain informed a topic 5 Online Information Overload • Every time we go online, we are overwhelmed by the available options • Web Search….which search result is most relevant to my needs? • Entertainment….which movie should I download, which restaurant should I eat at? • E-commerce….which product is best for me? which holiday will I enjoy most? • News….which news stories are most interesting to me? • Health….which healthy meals will I enjoy? which types of exercise should I try? what doctor can I trust? News? 7 Movies 8 Apps 9 | Presentation title | Presenter name Music • Spotify 10 | Presentation title | Presenter name