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User-selectable interactive recommendation system in mobile environment

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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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Acknowledgments

This work was supported by the Korea Science and Engineering Foundation (KOSEF) grant funded by the Korean government (MEST) (No. 2010-0000487)

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Authors and Affiliations

  1. Department of IT Application Technology GSV, Hoseo University, Seoul, Korea

    Jung-Min Oh & NamMee Moon

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  1. Jung-Min Oh
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  2. NamMee Moon
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Correspondence to NamMee Moon.

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Oh, JM., Moon, N. User-selectable interactive recommendation system in mobile environment. Multimed Tools Appl 57, 295–313 (2012). https://doi.org/10.1007/s11042-011-0737-x

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