Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Smriti Bhagat"'
Publikováno v:
KDD
Recommender systems have become increasingly accurate in suggesting content to users, resulting in users primarily consuming content through recommendations. This can cause the user's interest to narrow toward the recommended content, something we re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::473875a02b846cfcb00ba54b2991bd35
https://doi.org/10.1145/3447548.3467298
https://doi.org/10.1145/3447548.3467298
Autor:
Allan Heydon, Benjamin Ricaud, Linjun Shou, Dmitry Ustalov, Yanick Schraner, George Yu, Daria Baidakova, Ly Dinh, Paul Groth, Mehrnoosh Sameki, Marinka Zitnik, Flavian Vasile, Krishnaram Kenthapadi, Benjamin Wollmer, Felix Gessert, Da-Cheng Juan, Hong Cheng, Javier Albert, David Rohde, Onur Celebi, Robert West, Xiang Wang, Dawei Yin, Amine Benhalloum, Junzhou Huang, Fuchun Sun, Michaël Defferrard, Ming Gong, Rezvaneh Rezapour, Levan Tsinadze, Shubhanshu Mishra, Stratis Ioannidis, Francisco M. Couto, Yicheng Fan, Xiangnan He, Christian Scheller, Yueqi Wang, Yu Rong, Pasquale Lisena, Sharada P. Mohanty, Nicolas Aspert, Irene Teinemaa, Chun-Ta Lu, Volodymyr Miz, Jiawei Chen, Johny Jose, Xiangyu Zhao, Philip Pham, Yatao Bian, Manuel K. Schneider, Jennifer G. Dy, Nashlie Sephus, Dmitri Goldenberg, Jiliang Tang, Fuli Feng, Wenbing Huang, Olivier Jeunen, Wenqi Fan, Nikita Popov, Mario Koenig, Shobeir Fakhraei, Olesia Altunina, Smriti Bhagat, Samin Aref, Chun-Sung Ferng, Wolfram Wingerath, Evann Courdier, Martin Müller, Xiubo Geng, Xingjie Zhou, Otmane Sakhi, Dragan Cvetinovic, Florian Laurent, Norbert Ritter, Cesar Ilharco Magalhaes, Stephan Succo, Jian Pei, Ben Packer, Tingyang Xu, Ilkay Yildiz, Rose Howell, Jana Diesner, Tudor Mihai Avram, Arjun Gopalan, Alexey Drutsa, Daxin Jiang, Albert Meroño-Peñuela, Christos Faloutsos
Publikováno v:
The Web Conference 2021: companion of the World Wide Web Conference WWW 2021: April 19-23, 2021, Ljubljana, Slovenia
The Web Conference 2021
30th World Wide Web (WWW) Conference (WebConf), APR 19-23, 2021, ELECTR NETWORK
WEB CONFERENCE 2021: COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2021)
The Web Conference 2021
30th World Wide Web (WWW) Conference (WebConf), APR 19-23, 2021, ELECTR NETWORK
WEB CONFERENCE 2021: COMPANION OF THE WORLD WIDE WEB CONFERENCE (WWW 2021)
This report summarizes the 23 tutorials hosted at The Web Conference 2021: nine lecture-style tutorials and 14 hands-on tutorials.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8db21f1ce6612200bda91f82be15d8cf
https://doi.org/10.1145/3442442.3453701
https://doi.org/10.1145/3442442.3453701
Autor:
Stratis Ioannidis, Smriti Bhagat, Jean Bolot, Abhilash Dighe, Christos Faloutsos, Danai Koutra, Udi Weinsberg
Publikováno v:
KDD
How can we design a product or movie that will attract, for example, the interest of Pennsylvania adolescents or liberal newspaper critics? What should be the genre of that movie and who should be in the cast? In this work, we seek to identify how we
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4d97cec09df8b9e8cb7601ddc1cef60
https://doi.org/10.1145/3097983.3098076
https://doi.org/10.1145/3097983.3098076
Publikováno v:
Proceedings of the VLDB Endowment. 2:766-777
The recent rise in popularity of social networks, such as Facebook and MySpace, has created large quantities of data about interactions within these networks. Such data contains many private details about individuals so anonymization is required prio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8eb73b18743c9506f2900ac366c26093
https://doi.org/10.14778/1687627.1687714
https://doi.org/10.14778/1687627.1687714
Publikováno v:
COSN
Most previous work on modeling influence propagation has focused on progressive models, i.e., once a node is influenced (active) the node stays in that state and cannot become inactive. However, this assumption is unrealistic in many settings where n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c332d5a390a7551512462e4a6a056907
https://doi.org/10.1145/2660460.2660483
https://doi.org/10.1145/2660460.2660483
Publikováno v:
KDD
Online platforms, such as Meetup and Plancast, have recently become popular for planning gatherings and event organization. However, there is a surprising lack of studies on how to effectively and efficiently organize social events for a large group
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9788e80ea0a73dfd93e9ea66aa983755
https://doi.org/10.1145/2623330.2623724
https://doi.org/10.1145/2623330.2623724
Publikováno v:
KDD
People's interests are dynamically evolving, often affected by external factors such as trends promoted by the media or adopted by their friends. In this work, we model interest evolution through dynamic interest cascades: we consider a scenario wher
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc7ca5df5a15cf9944efead6d5243c5d
https://doi.org/10.1145/2623330.2623744
https://doi.org/10.1145/2623330.2623744
Publikováno v:
Web and Internet Economics ISBN: 9783319131283
WINE
WINE
We propose the study of computing the Shapley value for a new class of cooperative games that we call budgeted games, and investigate in particular knapsack budgeted games, a version modeled after the classical knapsack problem. In these games, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b275e8101a62af949c8a43e029103895
https://doi.org/10.1007/978-3-319-13129-0_8
https://doi.org/10.1007/978-3-319-13129-0_8
Autor:
Smriti Bhagat, Stéphane Caron
Publikováno v:
SNAKDD
Recommending items to new or "cold-start" users is a challenging problem for recommender systems. Collaborative filtering approaches fail when the preference history of users is not available. A promising direction that has been explored recently [12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fb9ec11fcc6b2aefcab83caffd72cbfb
https://doi.org/10.1145/2501025.2501029
https://doi.org/10.1145/2501025.2501029
Publikováno v:
RecSys
Recommender systems leverage user demographic information, such as age, gender, etc., to personalize recommendations and better place their targeted ads. Oftentimes, users do not volunteer this information due to privacy concerns, or due to a lack of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d77ef653593cc5ff935d933cdc8daf06