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Personalized and object-centered tag recommendation methods for Web 2.0 applications.

, , , and . Inf. Process. Manag., 50 (4): 524-553 (2014)

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Personalized and object-centered tag recommendation methods for Web 2.0 applications., , , and . Inf. Process. Manag., 50 (4): 524-553 (2014)Exploiting relevance, novelty and diversity in tag recommendation., , , and . WebMedia, page 297-300. ACM, (2012)GreenMeter: a tool for assessing the quality and recommending tags for web 2.0 applications., , , , , and . SIGIR, page 1279-1280. ACM, (2011)Exploiting syntactic and neighbourhood attributes to address cold start in tag recommendation., , , and . Inf. Process. Manag., 56 (3): 771-790 (2019)A survey on tag recommendation methods., , and . J. Assoc. Inf. Sci. Technol., 68 (4): 830-844 (2017)Measuring and addressing the impact of cold start on associative tag recommenders., , , and . WebMedia, page 325-332. ACM, (2013)A Comparative Study of Learning-to-Rank Techniques for Tag Recommendation., , , and . J. Inf. Data Manag., 4 (3): 453-468 (2013)Contextual Reinforcement, Entity Delimitation and Generative Data Augmentation for Entity Recognition and Relation Extraction in Official Documents., , , , , , , , and . J. Inf. Data Manag., (October 2023)Beyond Relevance: Explicitly Promoting Novelty and Diversity in Tag Recommendation., , , , and . ACM Trans. Intell. Syst. Technol., 7 (3): 26:1-26:34 (2016)On cold start for associative tag recommendation., , , and . J. Assoc. Inf. Sci. Technol., 67 (1): 83-105 (2016)