Diversifying recommendations on sequences of sets.

Autor: Nikookar, Sepideh, Esfandiari, Mohammadreza, Borromeo, Ria Mae, Sakharkar, Paras, Amer-Yahia, Sihem, Basu Roy, Senjuti

Publikováno v: VLDB Journal International Journal on Very Large Data Bases; Mar2023, Vol. 32 Issue 2, p283-304, 22p

Making AI Machines Work for Humans in FoW

Autor: Basu Roy, Senjuti, Chen, Lei, Morishima, Atsuyuki, Monedero, James, Bourhis, Pierre, Charoy, François, Danilevsky, Marina, Das, Gautam, Demartini, Gianluca, Dubey, Abishek, Elbassuoni, Shady, Gross-Amblard, David, Hoareau, Emilie, Inoguchi, Munenari, Kenworthy, Jared, Kitahara, Itaru, Lee, Dongwon, Li, Yunyao, Borromeo, Ria Mae, Papotti, Paolo, Rao, Raghav, Roy, Sudeepa, Senellart, Pierre, Tajima, Keishi, Thirumuruganathan, Saravanan, Tommasi, Marion, Umemoto, Kazutoshi, Wiggins, Andrea, Yoshida, Koichiro, Amer-Yahia, Sihem

Publikováno v: SIGMOD record
SIGMOD record, 2020, 49 (2), pp.30-35. ⟨10.1145/3442322.3442327⟩
SIGMOD record, ACM, 2020, 49 (2), pp.30-35. ⟨10.1145/3442322.3442327⟩

The Future of Work (FoW) is witnessing an evolution where AI systems (broadly machines or businesses) are used to the benefit of humans. Work here refers to all forms of paid and unpaid labor in both physical and virtual workplaces and that is enable

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c85b7768c46e2ae05bcc73479ba2f1a9
https://inria.hal.science/hal-03103700

Eliciting Worker Preference for Task Completion

Autor: Esfandiari, Mohammad, Basu Roy, Senjuti, Amer-Yahia, Sihem

Publikováno v: International Conference on Information and Knowledge Management
International Conference on Information and Knowledge Management, Oct 2018, Torino, Italy

International audience; Current crowdsourcing platforms provide little support for worker feedback. Workers are sometimes invited to post free text describing their experience and preferences in completing tasks. They can also use forums such as Turk

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c0defad13e627b8a13717bfa1154c378
https://hal.archives-ouvertes.fr/hal-02002078/file/1801.03233.pdf

Crowds, not Drones: Modeling Human Factors in Interactive Crowdsourcing

Autor: Basu Roy, Senjuti, Lykourentzou, Ioanna, Thirumuruganathan, Saravanan, Amer-Yahia, Sihem, Das, Gautam

Publikováno v: Proceedings of the 1st VLDB Workshop on Databases and Crowdsourcing
DBCrowd 2013-VLDB Workshop on Databases and Crowdsourcing
DBCrowd 2013-VLDB Workshop on Databases and Crowdsourcing, Aug 2013, Riva del Garda, Trento, Italy. pp.39-42

International audience; In this vision paper, we propose SmartCrowd, an intelligent and adaptive crowdsourcing framework. Contrary to existing crowdsourcing systems, where the process of hiring workers (crowd), learning their skills, and evaluating t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::449403fee58823d3347847fb17fdc7a2
https://hal.inria.fr/hal-00923542/file/vision1.pdf

Exploiting group recommendation functions for flexible preferences.

Autor: Basu Roy, Senjuti, Thirumuruganathan, Saravanan, Amer-Yahia, Sihem, Das, Gautam, Yu, Cong

Publikováno v: 2014 IEEE 30th International Conference on Data Engineering; 2014, p412-423, 12p