Improving User Experience Through Recommendation Message Design: A Systematic Literature Review of Extant Literature on Recommender Systems and Message Design-Reference-Cited by-同舟云学术

Improving User Experience Through Recommendation Message Design: A Systematic Literature Review of Extant Literature on Recommender Systems and Message Design

Published:2021 Issue: Volume: Page:163-181
ISSN:0302-9743
Container-title:Human Interface and the Management of Information. Information Presentation and Visualization
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Author:

Falconnet Antoine,Van Osch Wietske,Beringer Joerg,Léger Pierre-Majorique,Coursaris Constantinos K.

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-030-78321-1_13

Reference73 articles.

1. Candillier, L., Jack, K., Fessant, F., Meyer, F.: State-of-the-art recommender systems. In: Collaborative and Social Information Retrieval and Access: Techniques for Improved User Modeling, pp. 1–22. IGI Global (2009)

2. Lops, P., de Gemmis, M., Semeraro, G.: Content-based recommender systems: state of the art and trends. In: Ricci, F., Rokach, L., Shapira, B., Kantor, P.B. (eds.) Recommender Systems Handbook, pp. 73–105. Springer, Boston, MA (2011). https://doi.org/10.1007/978-0-387-85820-3_3

3. Lu, J., Wu, D., Mao, M., Wang, W., Zhang, G.: Recommender system application developments: a survey. Decis. Support Syst. 74, 12–32 (2015)

4. Wiesner, M., Pfeifer, D.: Health recommender systems: concepts, requirements, technical basics and challenges. Int. J. Environ. Res. Public Health 11(3), 2580–2607 (2014)

5. Sarwar, B., Karypis, G., Konstan, J., Riedl, J.: Application of dimensionality reduction in recommender system-a case study. Minnesota Univ Minneapolis Dept. of Computer Science (2000)

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