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Spatial Object Recommendation with Hints: When Spatial Granularity Matters
Existing spatial object recommendation algorithms generally treat object...
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A Survey on Advancing the DBMS Query Optimizer: Cardinality Estimation, Cost Model, and Plan Enumeration
Query optimizer is at the heart of the database systems. Cost-based opti...
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On the Efficiency of K-Means Clustering: Evaluation, Optimization, and Algorithm Selection
This paper presents a thorough evaluation of the existing methods that a...
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Dynamic Ridesharing in Peak Travel Periods
In this paper, we study a variant of the dynamic ridesharing problem wit...
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Temporal Network Representation Learning via Historical Neighborhoods Aggregation
Network embedding is an effective method to learn low-dimensional repres...
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A Survey on Trajectory Data Management, Analytics, and Learning
Recent advances in sensor and mobile devices have enabled an unprecedent...
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Bus Frequency Optimization: When Waiting Time Matters in User Satisfaction
Reorganizing bus frequency to cater for the actual travel demand can sav...
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Crowdsourced Collective Entity Resolution with Relational Match Propagation
Knowledge bases (KBs) store rich yet heterogeneous entities and facts. E...
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Location-Centered House Price Prediction: A Multi-Task Learning Approach
Accurate house prediction is of great significance to various real estat...
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Trajectory-driven Influential Billboard Placement
In this paper we propose and study the problem of trajectory-driven infl...
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