An Attention Model for Mashup Tag Recommendation

Kenneth K. Fletcher

doi:10.1007/978-3-030-59592-0_4

An Attention Model for Mashup Tag Recommendation

Kenneth K. Fletcher

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Services Computing – SCC 2020 - 17th International Conference, held as part of the Services Conference Federation, SCF 2020, Proceedings
Editors	Qingyang Wang, Yunni Xia, Sangeetha Seshadri, Liang-Jie Zhang
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	50-64
Number of pages	15
ISBN (Print)	9783030595913
DOIs	https://doi.org/10.1007/978-3-030-59592-0_4
State	Published - 2020
Event	17th International Conference on Services Computing, SCC 2020, held as part of the Services Conference Federation, SCF 2020 - Honolulu, United States Duration: Sep 18 2020 → Sep 20 2020

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12409 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	17th International Conference on Services Computing, SCC 2020, held as part of the Services Conference Federation, SCF 2020
Country/Territory	United States
City	Honolulu
Period	9/18/20 → 9/20/20

ASJC Scopus Subject Areas

Theoretical Computer Science
General Computer Science

Keywords

Attention mechanism
GRU
Mashup
Mashup development
Tag recommendation
Tags

Access to Document

10.1007/978-3-030-59592-0_4

Cite this

Fletcher, K. K. (2020). An Attention Model for Mashup Tag Recommendation. In Q. Wang, Y. Xia, S. Seshadri, & L.-J. Zhang (Eds.), Services Computing – SCC 2020 - 17th International Conference, held as part of the Services Conference Federation, SCF 2020, Proceedings (pp. 50-64). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12409 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-59592-0_4

An Attention Model for Mashup Tag Recommendation. / Fletcher, Kenneth K.
Services Computing – SCC 2020 - 17th International Conference, held as part of the Services Conference Federation, SCF 2020, Proceedings. ed. / Qingyang Wang; Yunni Xia; Sangeetha Seshadri; Liang-Jie Zhang. Springer Science and Business Media Deutschland GmbH, 2020. p. 50-64 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 12409 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Fletcher, KK 2020, An Attention Model for Mashup Tag Recommendation. in Q Wang, Y Xia, S Seshadri & L-J Zhang (eds), Services Computing – SCC 2020 - 17th International Conference, held as part of the Services Conference Federation, SCF 2020, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12409 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 50-64, 17th International Conference on Services Computing, SCC 2020, held as part of the Services Conference Federation, SCF 2020, Honolulu, United States, 9/18/20. https://doi.org/10.1007/978-3-030-59592-0_4

Fletcher KK. An Attention Model for Mashup Tag Recommendation. In Wang Q, Xia Y, Seshadri S, Zhang LJ, editors, Services Computing – SCC 2020 - 17th International Conference, held as part of the Services Conference Federation, SCF 2020, Proceedings. Springer Science and Business Media Deutschland GmbH. 2020. p. 50-64. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-59592-0_4

Fletcher, Kenneth K. / An Attention Model for Mashup Tag Recommendation. Services Computing – SCC 2020 - 17th International Conference, held as part of the Services Conference Federation, SCF 2020, Proceedings. editor / Qingyang Wang ; Yunni Xia ; Sangeetha Seshadri ; Liang-Jie Zhang. Springer Science and Business Media Deutschland GmbH, 2020. pp. 50-64 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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An Attention Model for Mashup Tag Recommendation

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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