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LOD evolution: change typology, update languages and integrity rules, , , , , , , , и . Deliverable, D3.1. DIACHRON: Managing the Evolution and Preservation of the Data Web, (марта 2014)Exploring subspace clustering for recommendations., , , и . SSDBM, стр. 42:1-42:4. ACM, (2014)Entity resolution in the web of data., , , и . WWW (Companion Volume), стр. 203-204. ACM, (2014)Recommendations beyond the ratings matrix., и . DDI@WebSci, стр. 2:1-2:5. ACM, (2016)On Achieving Diversity in Recommender Systems., , и . ExploreDB@SIGMOD/PODS, стр. 4:1-4:6. ACM, (2017)Tracking the History and Evolution of Entities: Entity-centric Temporal Analysis of Large Social Media Archives., , , и . CoRR, (2018)Parallel meta-blocking: Realizing scalable entity resolution over large, heterogeneous data., , , , и . IEEE BigData, стр. 411-420. IEEE Computer Society, (2015)Fair Team Recommendations for Multidisciplinary Projects., и . WI, стр. 293-297. ACM, (2019)Exploratory Search in Databases and the Web., , , и . EDBT/ICDT Workshops, том 1133 из CEUR Workshop Proceedings, стр. 158-159. CEUR-WS.org, (2014)SQUIRREL: A framework for sequential group recommendations through reinforcement learning., , и . Inf. Syst., (2023)