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Full trajectory prediction: what will you do the rest of the day?

, , and . UbiComp/ISWC Adjunct, page 189-192. ACM, (2017)

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Shrink: Distance preserving graph compression., , , , , and . Inf. Syst., (2017)Information gain-based metric for recognizing transitions in human activities., , and . Pervasive Mob. Comput., (2017)Root Cause Analysis of Traffic Anomalies Using Uneven Diffusion Model., , , and . IEEE Access, (2019)A probabilistic graph-based method to solve precision-diversity dilemma in recommender systems., , and . Expert Syst. Appl., (2021)Differential privacy for neighborhood-based collaborative filtering., , , , and . ASONAM, page 752-759. ACM, (2013)Agreement and Disagreement between True and False-Positive Metrics in Recommender Systems Evaluation., , , , and . SIGIR, page 841-850. ACM, (2020)Learning Rating Patterns for Top-N Recommendations., , and . ASONAM, page 472-479. IEEE Computer Society, (2012)Dynamic Bi-layer Graph Learning for Context-aware Sequential Recommendation., , , , , and . Trans. Recomm. Syst., 2 (2): 14:1-14:23 (June 2024)An effective privacy preserving algorithm for neighborhood-based collaborative filtering., , , , and . Future Gener. Comput. Syst., (2014)G-CREWE: Graph CompREssion With Embedding for Network Alignment., , , , , and . CIKM, page 1255-1264. ACM, (2020)