Academic publishers, such as Springer Nature, need to constantly make informed decisions about how and where to market their editorial products. In the field of Computer Science (CS), it is particularly critical to assess which books will be of interest to the attendees of a conference. Typically, these items are manually chosen by publishing editors, on the basis of their personal experience. To make this process both faster and more robust we have developed the Smart Book Recommender (SBR), a semantic application designed to support the Springer Nature editorial team in promoting their publications at CS venues. SBR takes as input the proceedings of a conference and suggests books, journals, and other conference proceedings which are likely to be relevant to the attendees of the conference in question. It does so by taking advantage of a semantic representation of topics, which builds on a very large ontology of Computer Science topics; characterizing Springer Nature books as distributions of semantic topics; and approaching the problem as one of semantic matching between such distributions of semantic topics.

Osborne, F., Thanapalasingam, T., Salatino, A., Birukou, A., Motta, E. (2017). Smart book recommender: A semantic recommendation engine for editorial products. In ISWC 2017 Posters & Demonstrations and Industry Tracks. CEUR-WS.

Smart book recommender: A semantic recommendation engine for editorial products

Osborne F;
2017

Abstract

Academic publishers, such as Springer Nature, need to constantly make informed decisions about how and where to market their editorial products. In the field of Computer Science (CS), it is particularly critical to assess which books will be of interest to the attendees of a conference. Typically, these items are manually chosen by publishing editors, on the basis of their personal experience. To make this process both faster and more robust we have developed the Smart Book Recommender (SBR), a semantic application designed to support the Springer Nature editorial team in promoting their publications at CS venues. SBR takes as input the proceedings of a conference and suggests books, journals, and other conference proceedings which are likely to be relevant to the attendees of the conference in question. It does so by taking advantage of a semantic representation of topics, which builds on a very large ontology of Computer Science topics; characterizing Springer Nature books as distributions of semantic topics; and approaching the problem as one of semantic matching between such distributions of semantic topics.
poster
Bibliographic data; Ontology; Recommendation systems; Scholarly data; Scholarly ontologies;
English
2017 ISWC Posters and Demonstrations and Industry Tracks, ISWC-P and D-Industry 2017 - 23 October 2017 through 25 October 2017
2017
Song, D; Nikitina, N; Fokoue, A; Haase, P
ISWC 2017 Posters & Demonstrations and Industry Tracks
2017
1963
none
Osborne, F., Thanapalasingam, T., Salatino, A., Birukou, A., Motta, E. (2017). Smart book recommender: A semantic recommendation engine for editorial products. In ISWC 2017 Posters & Demonstrations and Industry Tracks. CEUR-WS.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/381533
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