demo: “using ratings to profile your health”@neal_lathiauniversity of cambridge
collect #recsys recommendpreferences
user profiles for health(gastrointestinal app)“review” interaction: ratings, tags,text recommendations as tailored health information personalised vs. global health fact
Research Questions● How can recommender systems be used in (everyday) health domains? ● Prof ling, tracking, being “normal” i● How can recommender systems give tailored information without diagnosing? ● Ethics? False positives? False negatives?
mood-based mobile(recommender)sensing + experience samplingpreferences:linking behaviour ~ moods just finished: data collection trial with ~40 participants
(co) locationmovement phone social sensing implicitmic proximity experience sampling explicit
Research Questions● How can we recommend activities based on your mood and sensed context? ● How do sensor patterns ~ moods? ● How can this be measured?
public transport ratings(recommender)“review” interaction: ratings, text“recommendations” as aggregatedrecent ratings
Research Questions● How can the system be bootstrapped? ● Cold-start: f lter bots i social media● How can the system solicit/incentivise contributing ratings?● How can we measure the quality and effect of this information?