Colloquium Jacques Morgenstern
Colloquium Anne-Marie Kermarrec : "Scalable personalization infrastructures"
The ever-growing amount of data available on the Internet calls for personalization. Yet, the most effective personalization schemes, such as those based on collaborative filtering (CF), are notoriously resource greedy.
- Date : 3/04/2014
- Lieu : Amphithéatre du Campus SophiaTech - Sophia Antipolis, de 11h à 12h (Présentation en anglais)
- Intervenant(s) : Anne-Marie Kermarrec
- Organisateur(s) : Inria, UNS, I3S, Polytech'Nice Sophia, Ecole doctorale STIC
We argue that scalable infrastructures should rely on P2P design to scale to that increasing number of users, data and dynamics.
I will present a novel scalable k-nearest neighbor protocol, which P2P flavor provides scalability by design. This protocol provides each user with an implicit social network composed of users with similar tastes in a given application.
This protocol has been instanciated in various settings:
(1) A P2P system, WhatsUp, a collaborative filtering system for disseminating news items in a large-scale dynamic setting with no central authority;
(2) A hybrid recommendation infrastucture HyRec, an online cost-effective scalable system for CF personalization, offloading CPU-intensive recommendation tasks to front-end client browsers, while retaining storage and orchestration tasks within back-end servers;
(3) A cloud-based centralized recommendation engine.
Experiment show that our solution outperforms alternatives with respect to cost while maintening the quality of personalization.