Abstract
In this paper, we examine whether a user’s tweets can help to a generate more serendipitous recommendations. In addition, we investigate whether the use of diversification applied on a list of recommended items further improves serendipity. To this end, we conduct an experiment with \(n=22\) subjects. The result of our experiment shows that the subject’s tweets did not improve serendipity, but diversification results in more serendipitous recommendations.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agrawal, R., Gollapudi, S., Halverson, A., Ieong, S.: Diversifying search results. In: WSDM, pp. 5–14. ACM (2009)
Ge, M., Delgado-Battenfeld, C., Jannach, D.: Beyond accuracy: evaluating recommender systems by coverage and serendipity. In: RecSys, pp. 257–260. ACM (2010)
Goossen, F., IJntema, W., Frasincar, F., Hogenboom, F., Kaymak, U.: News personalization using the CF-IDF semantic recommender. In: WIMS, ACM (2011)
Herlocker, J.L., Konstan, J.A., Terveen, L.G., Riedl, J.: Evaluating collaborative filtering recommender systems. TOIS 22(1), 5–53 (2004)
Kapanipathi, P., Jain, P., Venkataramani, C., Sheth, A.: User interests identification on twitter using a hierarchical knowledge base. In: Presutti, V., d Amato, C., Gandon, F., d Aquin, M., Staab, S., Tordai, A. (eds.) ESWC 2014. LNCS, vol. 8465, pp. 99–113. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07443-6_8
Nishioka, C., Große-Bölting, G., Scherp, A.: Influence of time on user profiling and recommending researchers in social media. In: i-KNOW, ACM (2015)
Nishioka, C., Scherp, A.: Profiling vs. time vs. content: what does matter for top-k publication recommendation based on Twitter profiles? In: JCDL, pp. 171–180. ACM (2016)
Sugiyama, K., Kan, M.Y.: Scholarly paper recommendation via user’s recent research interests. In: JCDL, ACM (2010)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this paper
Cite this paper
Nishioka, C., Hauk, J., Scherp, A. (2019). Towards Serendipitous Research Paper Recommender Using Tweets and Diversification. In: Doucet, A., Isaac, A., Golub, K., Aalberg, T., Jatowt, A. (eds) Digital Libraries for Open Knowledge. TPDL 2019. Lecture Notes in Computer Science(), vol 11799. Springer, Cham. https://doi.org/10.1007/978-3-030-30760-8_29
Download citation
DOI: https://doi.org/10.1007/978-3-030-30760-8_29
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-30759-2
Online ISBN: 978-3-030-30760-8
eBook Packages: Computer ScienceComputer Science (R0)