Context-aware news recommender in mobile hybrid P2P network

Kam Fung Yeung; Yanyan Yang; David Ndzi

doi:10.1109/CICSyN.2010.48

Context-aware news recommender in mobile hybrid P2P network

Kam Fung Yeung, Yanyan Yang, David Ndzi

School of Computing

Dept. of Electronic and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

With the emergence of pervasive environment, mobile recommender needs to make use of user in-time contextual information to provide personalized recommendation. In this paper, a proactive context-aware news recommender in mobile hybrid P2P network is designed and implemented. We develop a general Analytic Hierarchy Process (AHP) model through empirical studies. We discuss how the relative weight of each AHP criteria can be computed via user assignment and user history. We combine both Contend-based filtering and Collaborative filtering approach to predict user interest using Bayesian Network. The experiments show the system can recommend real time news stories that satisfy the user.

Original language	English
Title of host publication	Proceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	54-59
Number of pages	6
ISBN (Print)	9780769541587
DOIs	https://doi.org/10.1109/CICSyN.2010.48 https://doi.org/10.1109/CICSyN.2010.48
Publication status	Published - 28 Jul 2010
Event	2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010 - Liverpool, United Kingdom Duration: 28 Jul 2010 → 30 Jul 2010

Conference

Conference	2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010
Country/Territory	United Kingdom
City	Liverpool
Period	28/07/10 → 30/07/10

Keywords

Analytic Hierarchy Process
Bayesian Network
collaborative filtering
content-based filtering
personalized Recommendation
proactively

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Yeung, K. F., Yang, Y., & Ndzi, D. (2010). Context-aware news recommender in mobile hybrid P2P network. In Proceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010 (pp. 54-59). Article 5614671 Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CICSyN.2010.48, https://doi.org/10.1109/CICSyN.2010.48

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title = "Context-aware news recommender in mobile hybrid P2P network",

abstract = "With the emergence of pervasive environment, mobile recommender needs to make use of user in-time contextual information to provide personalized recommendation. In this paper, a proactive context-aware news recommender in mobile hybrid P2P network is designed and implemented. We develop a general Analytic Hierarchy Process (AHP) model through empirical studies. We discuss how the relative weight of each AHP criteria can be computed via user assignment and user history. We combine both Contend-based filtering and Collaborative filtering approach to predict user interest using Bayesian Network. The experiments show the system can recommend real time news stories that satisfy the user.",

keywords = "Analytic Hierarchy Process, Bayesian Network, collaborative filtering, content-based filtering, personalized Recommendation, proactively",

author = "Yeung, {Kam Fung} and Yanyan Yang and David Ndzi",

year = "2010",

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doi = "10.1109/CICSyN.2010.48",

language = "English",

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booktitle = "Proceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010",

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address = "United States",

note = "2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010 ; Conference date: 28-07-2010 Through 30-07-2010",

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Yeung, KF, Yang, Y & Ndzi, D 2010, Context-aware news recommender in mobile hybrid P2P network. in Proceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010., 5614671, Institute of Electrical and Electronics Engineers Inc., pp. 54-59, 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010, Liverpool, United Kingdom, 28/07/10. https://doi.org/10.1109/CICSyN.2010.48, https://doi.org/10.1109/CICSyN.2010.48

Context-aware news recommender in mobile hybrid P2P network. / Yeung, Kam Fung; Yang, Yanyan ; Ndzi, David.
Proceedings - 2nd International Conference on Computational Intelligence, Communication Systems and Networks, CICSyN 2010. Institute of Electrical and Electronics Engineers Inc., 2010. p. 54-59 5614671.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - With the emergence of pervasive environment, mobile recommender needs to make use of user in-time contextual information to provide personalized recommendation. In this paper, a proactive context-aware news recommender in mobile hybrid P2P network is designed and implemented. We develop a general Analytic Hierarchy Process (AHP) model through empirical studies. We discuss how the relative weight of each AHP criteria can be computed via user assignment and user history. We combine both Contend-based filtering and Collaborative filtering approach to predict user interest using Bayesian Network. The experiments show the system can recommend real time news stories that satisfy the user.

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Y2 - 28 July 2010 through 30 July 2010

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Context-aware news recommender in mobile hybrid P2P network

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