

de Recherche et d’Innovation
en Cybersécurité et Société
Davoust, A.; Esfandiari, B.
User participation and honesty in online rating systems: What a social network can do Article d'actes
Dans: AAAI Workshop - Technical Report, p. 477–483, AI Access Foundation, 2016, ISBN: 978-1-57735-759-9.
Résumé | Liens | BibTeX | Étiquettes: Aggregation techniques, Artificial intelligence, Behavioral research, Big data, Co-operative behaviors, Cognitive systems, Computer games, Computer programming, Computer systems programming, Data mining, Hybrid systems, Incentive structure, On-line communities, Online rating systems, Online systems, Population statistics, Prisoners' Dilemma, Rating, Social networking (online), User participation
@inproceedings{davoust_user_2016,
title = {User participation and honesty in online rating systems: What a social network can do},
author = {A. Davoust and B. Esfandiari},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85021919921&partnerID=40&md5=6a33a1ab6d3b6ddd037240f4f664b6fe},
isbn = {978-1-57735-759-9},
year = {2016},
date = {2016-01-01},
booktitle = {AAAI Workshop - Technical Report},
volume = {WS-16-01 - WS-16-15},
pages = {477–483},
publisher = {AI Access Foundation},
abstract = {An important problem with online communities in general, and online rating systems in particular, is uncooperative behavior: lack of user participation, dishonest contributions. This may be due to an incentive structure akin to a Prisoners' Dilemma (PD). We show that introducing an explicit social network to PD games fosters cooperative behavior, and use this insight to design a new aggregation technique for online rating systems. Using a dataset of ratings from Yelp, we show that our aggregation technique outperforms Yelp's proprietary filter, as well as baseline techniques from recommender systems. Copyright © 2016, Association for the Advancement of Artificial Intelligence (www.aaai.org).},
keywords = {Aggregation techniques, Artificial intelligence, Behavioral research, Big data, Co-operative behaviors, Cognitive systems, Computer games, Computer programming, Computer systems programming, Data mining, Hybrid systems, Incentive structure, On-line communities, Online rating systems, Online systems, Population statistics, Prisoners' Dilemma, Rating, Social networking (online), User participation},
pubstate = {published},
tppubtype = {inproceedings}
}
Esfandiari, B.; Davoust, A.
Distributed Wikis and Social Networks: a Good Fit Article d'actes
Dans: WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web, p. 937–938, Association for Computing Machinery, Inc, 2016, ISBN: 978-145034144-8 (ISBN), (Journal Abbreviation: WWW Companion - Proc. Int. Conf. World Wide Web).
Résumé | Liens | BibTeX | Étiquettes: Discussion forum, Distributed computer systems, distributed wiki, distributed wikis, Peer to peer, Peer to peer networks, Self-organize, Social network, Social networking (online), social networks, Subjective quality, World Wide Web
@inproceedings{esfandiari_distributed_2016,
title = {Distributed Wikis and Social Networks: a Good Fit},
author = {B. Esfandiari and A. Davoust},
url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115132914&doi=10.1145%2f2872518.2890584&partnerID=40&md5=8887bea19553f8239bf60ebf694bac82},
doi = {10.1145/2872518.2890584},
isbn = {978-145034144-8 (ISBN)},
year = {2016},
date = {2016-01-01},
booktitle = {WWW 2016 Companion - Proceedings of the 25th International Conference on World Wide Web},
pages = {937–938},
publisher = {Association for Computing Machinery, Inc},
abstract = {Social networks can play an important role in the process of decentralizing authority in distributed systems. We will focus on distributed wiki systems, and we show how, in the special case of a peer-to-peer wiki, there is a rational incentive for users to self-organize and form a meaningful social network. We discuss to that effect the basic metrics that can be derived from the topology of the social network to help assess the subjective quality of wiki entries. Demos and experimental results will illustrate and support our discussion. We finally speculate as to how these results may also translate to discussion forums or recommender systems. © 2016 International World Wide Web Conference Committee (IW3C2).},
note = {Journal Abbreviation: WWW Companion - Proc. Int. Conf. World Wide Web},
keywords = {Discussion forum, Distributed computer systems, distributed wiki, distributed wikis, Peer to peer, Peer to peer networks, Self-organize, Social network, Social networking (online), social networks, Subjective quality, World Wide Web},
pubstate = {published},
tppubtype = {inproceedings}
}