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User-selectable interactive recommendation system in mobile environment

Published: 01 March 2012 Publication History

Abstract

Mobile devices need to provide more accurate and personalized information in a computing environment with a small screen and limited information retrieval functions. This paper presents a user-selectable recommendation system that reflects a user interest group by employing collaborative filtering as technique to provide useful information in a mobile environment. We form similar groups by simultaneously considering a user's information preferences and demographics. Then we reconstruct lists of a final recommendation based on what search results the similar demographic group has chosen. This is an optional filter for the search results. This means that we provide an interactive flexible recommendation list that considers a user's intent more actively, rather than unilaterally. We show the Mean Absolute Error result to evaluate the recommendation and finally show the realization of a prototype that is based on both the iPhone and Android phone environments.

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Cited By

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  • (2017)Context-aware recommender systems in mobile environmentInformation Systems10.1016/j.is.2017.09.00172:C(27-61)Online publication date: 1-Dec-2017
  • (2016)Trajectory based database management for intelligent surveillance system with heterogeneous sensorsMultimedia Tools and Applications10.1007/s11042-015-2725-z75:23(15429-15444)Online publication date: 1-Dec-2016
  • (2016)Gradually adaptive recommendation based on semantic mapping of users' interest correlationsInternational Journal of Communication Systems10.1002/dac.283529:2(341-361)Online publication date: 25-Jan-2016
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Information & Contributors

Information

Published In

cover image Multimedia Tools and Applications
Multimedia Tools and Applications  Volume 57, Issue 2
March 2012
211 pages

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 March 2012

Author Tags

  1. Collaborative filtering
  2. Interactive recommendation
  3. MAE
  4. Recommendation system
  5. Smart phone

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Cited By

View all
  • (2017)Context-aware recommender systems in mobile environmentInformation Systems10.1016/j.is.2017.09.00172:C(27-61)Online publication date: 1-Dec-2017
  • (2016)Trajectory based database management for intelligent surveillance system with heterogeneous sensorsMultimedia Tools and Applications10.1007/s11042-015-2725-z75:23(15429-15444)Online publication date: 1-Dec-2016
  • (2016)Gradually adaptive recommendation based on semantic mapping of users' interest correlationsInternational Journal of Communication Systems10.1002/dac.283529:2(341-361)Online publication date: 25-Jan-2016
  • (2014)Context-aware recommendations through context and activity recognition in a mobile environmentMultimedia Tools and Applications10.1007/s11042-013-1582-x72:3(2925-2948)Online publication date: 1-Oct-2014
  • (2013)Making Decisions about PrivacyACM Transactions on Interactive Intelligent Systems10.1145/24996703:3(1-23)Online publication date: 1-Oct-2013

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