Barbu, Catalin-Mihai; Ziegler, Jürgen:
Designing Interactive Visualizations of Personalized Review Data for a Hotel Recommender System
In: Workshop on Recommenders in Tourism : Proceedings of the Workshop on Recommenders in Tourism / Neidhardt, Julia; Wörndl, Wolfgang; Kuflik, Tsvi; Zanker, Markus (Eds.). - 3rd ACM RecSys Workshop on Recommenders in Tourism (RecTour 2018), 7. October 2018, Vancouver - Aachen: RWTH Aachen, 2018 - (CEUR Workshop Proceedings ; 2222), pp. 7 - 12
2018book article/chapter in ProceedingsOA Gold
Computer ScienceFaculty of Engineering » Computer Science and Applied Cognitive Science » Computer Science » Interactive Systems
Title in English:
Designing Interactive Visualizations of Personalized Review Data for a Hotel Recommender System
Author:
Barbu, Catalin-MihaiUDE
LSF ID
58102
Other
connected with university
;
Ziegler, JürgenUDE
GND
1015876811
GND
1077664516
LSF ID
3881
ORCID
0000-0001-9603-5272ORCID iD
Other
connected with university
Open Access?:
OA Gold
Scopus ID
Note:
OA platinum
Language of text:
English
Keyword, Topic:
Recommender systems ; Personalized reviews ; Interactive visualization ; Multimode networks ; Trustworthiness ; Tourism

Abstract in English:

Online reviews extracted from social media are being used increasingly in recommender systems, typically to enhance prediction accuracy. A somewhat less studied avenue of research aims to investigate the underlying relationships that arise between users, items, and the topics mentioned in reviews. Identifying these--often implicit--relationships could be beneficial for at least a couple of reasons. First, they would allow recommender systems to personalize reviews based on a combination of both topic and user similarity. Second, they can facilitate the development of novel interactive visualizations that complement and help explain recommendations even further. In this paper, we report on our ongoing work to personalize user reviews and visualize them in an interactive manner, using hotel recommending as an example domain. We also discuss several possible interactive mechanisms and consider their potential benefits towards increasing users' satisfaction.