On m-Impact Regions and Standing Top-k Influence Problems

Author:

Tang Bo1,Mouratidis Kyriakos2,Han Mingji1

Affiliation:

1. Southern University of Science and Technology, Shenzhen, China

2. Singapore Management University, Singapore, Singapore

Funder

Education Department of Guangdong

NSFC

Guangdong Provincial Key Laboratory

Publisher

ACM

Reference75 articles.

1. Hotel dataset. http://www.hotels-base.com. Hotel dataset. http://www.hotels-base.com.

2. House dataset. http://www.ipums.org. House dataset. http://www.ipums.org.

3. lpsolver. http://lpsolve.sourceforge.net/5.5/. lpsolver. http://lpsolve.sourceforge.net/5.5/.

4. NBA dataset. http://www.basketball-reference.com. NBA dataset. http://www.basketball-reference.com.

5. qhalf. http://www.qhull.org/html/qhalf.htm. qhalf. http://www.qhull.org/html/qhalf.htm.

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1. Opportunities for spatial database research in the context of preference queries;Proceedings of the 7th ACM SIGSPATIAL Workshop on Location-based Recommendations, Geosocial Networks and Geoadvertising;2023-11-13

2. Quantifying the competitiveness of a dataset in relation to general preferences;The VLDB Journal;2023-08-08

3. rkHit: Representative Query with Uncertain Preference;Proceedings of the ACM on Management of Data;2023-06-13

4. T-LevelIndex: Towards Efficient Query Processing in Continuous Preference Space;Proceedings of the 2022 International Conference on Management of Data;2022-06-10

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