Barbu, Catalin-Mihai; Ziegler, Jürgen:
Co-Staying : a Social Network for Increasing the Trustworthiness of Hotel Recommendations
In: 2nd Workshop on Recommenders in Tourism : Proceedings of the 2nd Workshop on Recommenders in Tourism / Neidhardt, Julia; Fesenmaier, Daniel; Kuflik, Tsvi; Wörndl, Wolfgang (Eds.). - 2nd Workshop on Recommenders in Tourism (RecTour 2017), 27. August 2017, Como, Italy - Aachen: RWTH Aachen, 2017 - (CEUR Workshop Proceedings ; 1906), pp. 35 - 39
2017book article/chapter in ProceedingsOA Gold
Computer ScienceFaculty of Engineering » Computer Science and Applied Cognitive Science » Computer Science » Interactive Systems
Title in English:
Co-Staying : a Social Network for Increasing the Trustworthiness of Hotel Recommendations
Author:
Barbu, Catalin-MihaiLSF; Ziegler, JürgenLSF
Open Access?:
OA Gold
Note::
OA platinum
Language of text:
English
Keyword, Topic:
Recommender systems ; Tourism ; Personalization ; Trust ; Multimode networks ; Trustworthiness

Abstract in English:

Recommender systems attempt to match users’ preferences with items. To achieve this, they typically store and process a large amount of user profiles, item attributes, as well as an ever-increasing volume of user-generated feedback about those items. By mining user-generated data, such as reviews, a complex network consisting of users, items, and item properties can be created. Exploiting this network could allow a recommender system to identify, with greater accuracy, items that users are likely to find attractive based on the attributes mentioned in their past reviews as well as in those left by similar users. At the same time, allowing users to visualize and explore the network could lead to novel ways of interacting with recommender systems and might play a role in increasing the trustworthiness of recommendations. We report on a conceptual model for a multimode network for hotel recommendations and discuss potential interactive mechanisms that might be employed for visualizing it.