Swiss Federal Institute of Technology in Lausanne EPFL, CH-1015 Lausanne, Switzerland Trust-Based Rating Prediction for Recommendation in Web 2.0 Collaborative Learning Social Software Na Li, Sandy El Helou, Denis Gillet Real-Time Coordination and Distributed Interaction Systems (ReAct) Automatic Control Lab, Swiss Federal Institute of Technology in Lausanne ITHET 29 th April – 1 st May 2010, Cappadocia, Turkey
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Swiss Federal Institute of Technology in Lausanne EPFL, CH-1015 Lausanne, Switzerland
Trust-Based Rating Prediction for Recommendation in Web 2.0 Collaborative Learning Social Software
Na Li, Sandy El Helou, Denis Gillet
Real-Time Coordination and Distributed Interaction Systems (ReAct) Automatic Control Lab, Swiss Federal Institute of Technology in Lausanne
ITHET 29th April – 1st May 2010, Cappadocia, Turkey
Swiss Federal Institute of Technology in Lausanne EPFL, CH-1015 Lausanne, Switzerland
Outline
•Introduction•Collaborative Learning Domain•3A Interaction Model•Trust-Based Rating Prediction Approach•Evaluation and Results•Conclusion and Future Work
Swiss Federal Institute of Technology in Lausanne EPFL, CH-1015 Lausanne, Switzerland
Introduction•Web 2.0 social software
▫A large amount of user generated content▫New challenge: selection of useful
resourcesRSS Feeds
Pictures
Documents
Videos
Wiki Pages
Pictures
Swiss Federal Institute of Technology in Lausanne EPFL, CH-1015 Lausanne, Switzerland
Introduction
•Rating systems▫Evaluate quality of content in open
environment▫Provide recommendation for different users
Swiss Federal Institute of Technology in Lausanne EPFL, CH-1015 Lausanne, Switzerland
Introduction•Rating systems – application level
•Rating systems – academic research level▫ TidalTrust (J. Golbeck), MoleTrust(P. Massa)▫ User explicitly specifies a trust value towards another user▫ Build trust network, Random walk in trust network▫ Personalized rating prediction
Epinions 1 to 5 stars A set of aspects for shops and products (ordering, delivery, service) Status for members (Advisor, Top reviewer, Category Lead)
ePractice.eu
Use “Kudos” to measure the activity of members Award a number of “Kudos” according to each user action
Everything2 “Positive” and “Negative” votes for articles Users’ ranking according to their contribution
Swiss Federal Institute of Technology in Lausanne EPFL, CH-1015 Lausanne, Switzerland
Collaborative Learning Domain
•Collaborative learning environment▫Unlike e-commerce and review sites▫Gift economy
•Rating systems▫Evaluate user generated content▫Filter helpful learning resources, peers and
group activities▫Personalized rating prediction for
recommendation
Swiss Federal Institute of Technology in Lausanne EPFL, CH-1015 Lausanne, Switzerland
3A Interaction Model
Swiss Federal Institute of Technology in Lausanne EPFL, CH-1015 Lausanne, Switzerland
Trust-Based Rating Prediction Approach•Objective
▫Build users’ trust network using 3A graph structure
▫Personalize the rating prediction▫Infer trust value in an implicit way
•Basic idea▫What influences rating opinion: similarity and
familiarity▫People tend to trust the opinions of
acquaintance and those having similar interests and tastes.
Swiss Federal Institute of Technology in Lausanne EPFL, CH-1015 Lausanne, Switzerland