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dc.contributor.authorLin, Kunhuizh_CN
dc.contributor.authorLiu, Jiezh_CN
dc.contributor.authorQiu, Mingzh_CN
dc.contributor.authorGuo, Kaijiezh_CN
dc.contributor.author林坤辉zh_CN
dc.contributor.author邱明zh_CN
dc.date.accessioned2015-07-22T02:16:20Z
dc.date.available2015-07-22T02:16:20Z
dc.date.issued2014 October 15zh_CN
dc.identifier.citationProceedings of the 9th International Conference on Computer Science and Education, ICCCSE 2014, 2014:536-539zh_CN
dc.identifier.other20144800257145zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/85830
dc.descriptionConference Name:9th International Conference on Computer Science and Education, ICCCSE 2014. Conference Address: Vancouver, BC, Canada. Time:August 22, 2014 - August 24, 2014.zh_CN
dc.description.abstractLocation based service (LBS) is widely used with the development of mobile network, and location-based mobile search has become a research hotspot of LBS. However, traditional location-based mobile search technology could only provide the homogeneous results to different users, rather than characteristic results depending on different personal preferences. This paper introduces a collaborative filtering recommendation algorithm - using slop one algorithm for location-based mobile search. Through using an improved slope one algorithm, we can get the results that are closer to users' preferences. As an example, we show a personalized restaurant search application on smart phone.zh_CN
dc.language.isoen_USzh_CN
dc.publisherInstitute of Electrical and Electronics Engineers Inc.zh_CN
dc.source.urihttp://dx.doi.org/10.1109/ICCSE.2014.6926519zh_CN
dc.titleLocation-based personalized mobile searchzh_CN
dc.typeConferencezh_CN


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