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Towards personalized maps: mining user preferences from geo-textual data

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Gao CongAuthors Info & Claims

Proceedings of the VLDB Endowment, Volume 9, Issue 13

Pages 1545 - 1548

https://doi.org/10.14778/3007263.3007305

Published: 01 September 2016 Publication History

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Abstract

Rich geo-textual data is available online and the data keeps increasing at a high speed. We propose two user behavior models to learn several types of user preferences from geo-textual data, and a prototype system on top of the user preference models for mining and search geo-textual data (called PreMiner) to support personalized maps. Different from existing recommender systems and data analysis systems, PreMiner highly personalizes user experience on maps and supports several applications, including user mobility & interests mining, opinion mining in regions, user recommendation, point-of-interest recommendation, and querying and subscribing on geo-textual data.

References

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Cited By

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Kouadri WOuziri MBenbernou SEchihabi KPalpanas TAmor I(2020)Quality of sentiment analysis toolsProceedings of the VLDB Endowment10.14778/3436905.343692414:4(668-681)Online publication date: 1-Dec-2020
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Chen XXu JZhou RZhao PLiu CFang JZhao L(2020)S2R-tree: a pivot-based indexing structure for semantic-aware spatial keyword searchGeoinformatica10.1007/s10707-019-00372-z24:1(3-25)Online publication date: 1-Jan-2020
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Chen ZYao BWang ZZhang WZheng KKalnis PTang F(2020)ITISS: an efficient framework for querying big temporal dataGeoinformatica10.1007/s10707-019-00362-124:1(27-59)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1007/s10707-019-00362-1
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cover image Proceedings of the VLDB Endowment

Proceedings of the VLDB Endowment Volume 9, Issue 13

September 2016

378 pages

ISSN:2150-8097

Editor:
Surajit Chaudhuri
Microsoft Research

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VLDB Endowment

Publication History

Published: 01 September 2016

Published in PVLDB Volume 9, Issue 13

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Kouadri WOuziri MBenbernou SEchihabi KPalpanas TAmor I(2020)Quality of sentiment analysis toolsProceedings of the VLDB Endowment10.14778/3436905.343692414:4(668-681)Online publication date: 1-Dec-2020
https://dl.acm.org/doi/10.14778/3436905.3436924
Chen XXu JZhou RZhao PLiu CFang JZhao L(2020)S2R-tree: a pivot-based indexing structure for semantic-aware spatial keyword searchGeoinformatica10.1007/s10707-019-00372-z24:1(3-25)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1007/s10707-019-00372-z
Chen ZYao BWang ZZhang WZheng KKalnis PTang F(2020)ITISS: an efficient framework for querying big temporal dataGeoinformatica10.1007/s10707-019-00362-124:1(27-59)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1007/s10707-019-00362-1
Song XXu JZhou RLiu CZheng KZhao PFalkner N(2020)Collective spatial keyword search on activity trajectoriesGeoinformatica10.1007/s10707-019-00358-x24:1(61-84)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1007/s10707-019-00358-x
Song TXu KLi JLi YTong Y(2020)Multi-skill aware task assignment in real-time spatial crowdsourcingGeoinformatica10.1007/s10707-019-00351-424:1(153-173)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1007/s10707-019-00351-4
Mougouei DPowers D(2020)Dependency-aware software release planning through mining user preferencesSoft Computing - A Fusion of Foundations, Methodologies and Applications10.1007/s00500-019-04630-y24:15(11673-11693)Online publication date: 1-Aug-2020
https://dl.acm.org/doi/10.1007/s00500-019-04630-y
Gomez FIquira DCuadros A(2018)Application of the KDD Process for the Visualization of Integrated Geo-Referenced Textual Data from the Pre-processing PhaseWeb and Wireless Geographical Information Systems10.1007/978-3-319-90053-7_5(41-50)Online publication date: 21-May-2018
https://dl.acm.org/doi/10.1007/978-3-319-90053-7_5

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