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Scrutinizing Mobile App Recommendation: Identifying Important App-Related Indicators.

, , , and . AIRS, volume 9994 of Lecture Notes in Computer Science, page 197-211. Springer, (2016)

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ForeCite: towards a reader-centric scholarly digital library., , , , , , , , and . JCDL, page 387-388. ACM, (2010)Abstractive Meeting Summarization Using Dependency Graph Fusion., , and . WWW (Companion Volume), page 5-6. ACM, (2015)Introduction to the 2015 Joint Conference on Digital Libraries Doctoral Consortium Issue., and . TCDL Bulletin, (2015)Neural Multi-task Learning for Citation Function and Provenance., , , and . JCDL, page 394-395. IEEE, (2019)Abstractive Meeting Summarization UsingDependency Graph Fusion., , and . CoRR, (2016)Improvement in TF-IDF scheme for Web pages based on the contents of their hyperlinked neighboring pages., , , and . Systems and Computers in Japan, 36 (14): 56-68 (2005)"Towards higher relevance and serendipity in scholarly paper recommendation" by Kazunari Sugiyama and Min-Yen Kan with Martin Vesely as coordinator., and . SIGWEB Newsletter, 2015 (Winter): 4:1-4:16 (2015)Semi-supervised Clustering for Word Instances and Its Effect on Word Sense Disambiguation., and . CICLing, volume 5449 of Lecture Notes in Computer Science, page 266-279. Springer, (2009)Addressing cold-start in app recommendation: latent user models constructed from twitter followers., , , and . SIGIR, page 283-292. ACM, (2013)TITPI: Web People Search Task Using Semi-Supervised Clustering Approach., and . SemEval@ACL, page 318-321. The Association for Computer Linguistics, (2007)