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Exploring recommendations in internet of things

Published: 03 July 2014 Publication History

Abstract

With recent advances in radio-frequency identification (RFID), wireless sensor networks, and Web-based services, physical things are becoming an integral part of the emerging ubiquitous Web. In this paper, we focus on the things recommendation problem in Internet of Things (IoT). In particular, we propose a unified probabilistic based framework by fusing information across relationships between users (i.e., users'social network) and things (i.e., things correlations) to make more accurate recommendations. The proposed approach not only inherits the advantages of the matrix factorization, but also exploits the merits of social relationships and thing-thing correlations. We validate our approach based on an Internet of Things platform and the experimental results demonstrate its feasibility and effectiveness.

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  • (2023)Software Quality in the IOT in Health Sector and Commerce SectorAdvanced Research in Technologies, Information, Innovation and Sustainability10.1007/978-3-031-48858-0_2(14-25)Online publication date: 20-Dec-2023
  • (2022)Context-Based Multi-Agent Recommender System, Supported on IoT, for Guiding the Occupants of a Building in Case of a FireElectronics10.3390/electronics1121346611:21(3466)Online publication date: 26-Oct-2022
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cover image ACM Conferences
SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval
July 2014
1330 pages
ISBN:9781450322577
DOI:10.1145/2600428
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 03 July 2014

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Author Tags

  1. internet of things
  2. recommendation
  3. social networks

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SIGIR '14 Paper Acceptance Rate 82 of 387 submissions, 21%;
Overall Acceptance Rate 792 of 3,983 submissions, 20%

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Cited By

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  • (2024)Smart Management Based on Deep Data Analysis for Digital HealthcareData Science and Artificial Intelligence for Digital Healthcare10.1007/978-3-031-56818-3_4(61-74)Online publication date: 25-Aug-2024
  • (2023)Software Quality in the IOT in Health Sector and Commerce SectorAdvanced Research in Technologies, Information, Innovation and Sustainability10.1007/978-3-031-48858-0_2(14-25)Online publication date: 20-Dec-2023
  • (2022)Context-Based Multi-Agent Recommender System, Supported on IoT, for Guiding the Occupants of a Building in Case of a FireElectronics10.3390/electronics1121346611:21(3466)Online publication date: 26-Oct-2022
  • (2022)RecIoTWireless Communications & Mobile Computing10.1155/2022/92189072022Online publication date: 1-Jan-2022
  • (2022)Smart objects recommendation based on pre-training with attention and the thing–thing​ relationship in social Internet of thingsFuture Generation Computer Systems10.1016/j.future.2021.11.006129:C(347-357)Online publication date: 1-Apr-2022
  • (2022)3T-IEC*: a context-aware recommender system architecture for smart social networks (EBSN and SBSN)Journal of Intelligent Information Systems10.1007/s10844-022-00743-360:1(199-233)Online publication date: 6-Oct-2022
  • (2022)S-RAP: relevance-aware QoS prediction in web-services and user contextsKnowledge and Information Systems10.1007/s10115-022-01699-064:7(1997-2022)Online publication date: 27-Jun-2022
  • (2021)Context-Induced Activity Monitoring for On-Demand Things-of-Interest Recommendation in an Ambient Intelligent EnvironmentFuture Internet10.3390/fi1312030513:12(305)Online publication date: 28-Nov-2021
  • (2021)Time-Aware Cross-Platform IoT Service Recommendation with Privacy PreservationSecurity and Communication Networks10.1155/2021/56481682021Online publication date: 6-Dec-2021
  • (2021)From Users’ Intentions to IF-THEN Rules in the Internet of ThingsACM Transactions on Information Systems10.1145/344726439:4(1-33)Online publication date: 16-Aug-2021
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