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Using data mining and recommender systems to scale up the requirements process.

, and . ULSSIS@ICSE, page 3-6. ACM, (2008)

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User Partitioning Hybrid for Tag Recommendation., , and . UMAP, volume 8538 of Lecture Notes in Computer Science, page 74-85. Springer, (2014)Query-driven context aware recommendation., , and . RecSys, page 9-16. ACM, (2013)WebKDD 2008: 10 years of knowledge discovery on the web post-workshop report., , , , and . SIGKDD Explor., 10 (2): 78-83 (2008)UMAP 2017 THUM Workshop Chairs' Welcome & Organization., , , , , , , , , and . UMAP (Adjunct Publication), page 368-369. ACM, (2017)A consensus based approach to constrained clustering of software requirements., , and . CIKM, page 1073-1082. ACM, (2008)Workshop on recommender systems and the social web., , , , , , and . RecSys, page 421-422. ACM, (2009)Power of the Few: Analyzing the Impact of Influential Users in Collaborative Recommender Systems., , and . UMAP, page 225-233. ACM, (2019)Task-Oriented Web User Modeling for Recommendation., , and . User Modeling, volume 3538 of Lecture Notes in Computer Science, page 109-118. Springer, (2005)Flatter is better: Percentile Transformations for Recommender Systems., , and . CoRR, (2019)Improving the Effectiveness of Collaborative Filtering on Anonymous Web Usage Data, , , and . (2001)