Temporal Diversity in RecSys - SIGIR2010

SAC TRECK 2008

Contextual Dissonance: Design Bias in Sensor-Based Experience Sampling Methods

Opportunities and Challenges of Using Smartphones for Health Monitoring and Intervention

Recommender Systems in 2012

The Effect of Correlation Coefficients on Communities of Recommenders

The Ubhave Project (Part 1/2)

Personalisation for Smarter Cities

Using Sensors to Infer how People Feel

Open Source Smartphone Libraries for Computational Social Science

Temporal Defenses for Robust Recommendations

Tube Star: Crowd-Sourced Experiences on Public Transport

The Ubhave Framework

Data Science in #mHealth

Analysing Daily Behaviours with Large-Scale Smartphone Data

Cambridge Quantified Self Meetup

Using Smartphones to Measure (and Intervene in) Daily Life

Data Science in Digital Health

Measuring the impact of opening the London shared bicycle scheme to casual users

Mining Smartphone Data (with Python)