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Mining common morphological fragments from process event logs., , , and . CASCON, page 179-191. IBM / ACM, (2014)Quality-centric feature model configuration using goal models., , and . SAC, page 1296-1299. ACM, (2016)The reflection of offline activities on users' online social behavior: An observational study., , , , and . Inf. Process. Manag., (2019)Learning to rank implicit entities on Twitter., and . Inf. Process. Manag., 58 (3): 102503 (2021)Neural Disentanglement of Query Difficulty and Semantics., , , , , and . CIKM, page 4264-4268. ACM, (2023)Noisy Perturbations for Estimating Query Difficulty in Dense Retrievers., , , and . CIKM, page 3722-3727. ACM, (2023)MS MARCO Chameleons: Challenging the MS MARCO Leaderboard with Extremely Obstinate Queries., , and . CIKM, page 4426-4435. ACM, (2021)Matches Made in Heaven: Toolkit and Large-Scale Datasets for Supervised Query Reformulation., , , , and . CIKM, page 4417-4425. ACM, (2021)OpenAttHetRL: An Open Source Toolkit for Attributed Heterogeneous Network Representation Learning., , , , and . CIKM, page 4706-4710. ACM, (2021)PyDHNet: A Python Library for Dynamic Heterogeneous Network Representation Learning and Evaluation., , and . CIKM, page 4936-4940. ACM, (2022)