Campaign Optimization Through Behavioral Modeling and Mobile Network Analysis
© 2014 IEEE. Optimizing the use of available resources is one of the key challenges in activities that consist of interactions with a large number of "target individuals," with the ultimate goal of "winning" as many of them as possible, such as in marketing, service provision, po...
| Main Authors: | , , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2021
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| Online Access: | https://hdl.handle.net/1721.1/134260 |
| _version_ | 1811088196457463808 |
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| author | Altshuler, Yaniv Shmueli, Erez Zyskind, Guy Lederman, Oren Oliver, Nuria Pentland, Alex |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Altshuler, Yaniv Shmueli, Erez Zyskind, Guy Lederman, Oren Oliver, Nuria Pentland, Alex |
| author_sort | Altshuler, Yaniv |
| collection | MIT |
| description | © 2014 IEEE. Optimizing the use of available resources is one of the key challenges in activities that consist of interactions with a large number of "target individuals," with the ultimate goal of "winning" as many of them as possible, such as in marketing, service provision, political campaigns, or homeland security. Typically, the cost of interactions is monotonically increasing such that a method for maximizing the performance of these campaigns is required. In this paper, we propose a mathematical model to compute an optimized campaign by automatically determining the number of interacting units and their type, and how they should be allocated to different geographical regions in order to maximize the campaign's performance. We validate our proposed model using real world mobility data. |
| first_indexed | 2024-09-23T13:57:47Z |
| format | Article |
| id | mit-1721.1/134260 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:57:47Z |
| publishDate | 2021 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1342602023-10-13T20:53:51Z Campaign Optimization Through Behavioral Modeling and Mobile Network Analysis Altshuler, Yaniv Shmueli, Erez Zyskind, Guy Lederman, Oren Oliver, Nuria Pentland, Alex Massachusetts Institute of Technology. Media Laboratory © 2014 IEEE. Optimizing the use of available resources is one of the key challenges in activities that consist of interactions with a large number of "target individuals," with the ultimate goal of "winning" as many of them as possible, such as in marketing, service provision, political campaigns, or homeland security. Typically, the cost of interactions is monotonically increasing such that a method for maximizing the performance of these campaigns is required. In this paper, we propose a mathematical model to compute an optimized campaign by automatically determining the number of interacting units and their type, and how they should be allocated to different geographical regions in order to maximize the campaign's performance. We validate our proposed model using real world mobility data. 2021-10-27T20:04:12Z 2021-10-27T20:04:12Z 2014 2019-07-26T13:54:09Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/134260 Altshuler, Y., et al. "Campaign Optimization through Behavioral Modeling and Mobile Network Analysis." IEEE Transactions on Computational Social Systems 1 2 (2014): 121-34. en 10.1109/TCSS.2014.2377831 IEEE Transactions on Computational Social Systems Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) MIT web domain |
| spellingShingle | Altshuler, Yaniv Shmueli, Erez Zyskind, Guy Lederman, Oren Oliver, Nuria Pentland, Alex Campaign Optimization Through Behavioral Modeling and Mobile Network Analysis |
| title | Campaign Optimization Through Behavioral Modeling and Mobile Network Analysis |
| title_full | Campaign Optimization Through Behavioral Modeling and Mobile Network Analysis |
| title_fullStr | Campaign Optimization Through Behavioral Modeling and Mobile Network Analysis |
| title_full_unstemmed | Campaign Optimization Through Behavioral Modeling and Mobile Network Analysis |
| title_short | Campaign Optimization Through Behavioral Modeling and Mobile Network Analysis |
| title_sort | campaign optimization through behavioral modeling and mobile network analysis |
| url | https://hdl.handle.net/1721.1/134260 |
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