A meta-analysis on the effects of IT capability toward agility and performance: New directions for information systems research

K Werder, J Richter - Plos one, 2022 - journals.plos.org
Information technology (IT) capability is an organizational capability that enables
organizations to acquire, deploy, combine, and reconfigure IT resources. As such, it is often …

Group recommender systems for tourism: how does personality predict preferences for attractions, travel motivations, preferences and concerns?

P Alves, H Martins, P Saraiva, J Carneiro… - User Modeling and User …, 2023 - Springer
To travel in leisure is an emotional experience, and therefore, the more the information
about the tourist is known, the more the personalized recommendations of places and …

A 3D item space visualization for presenting and manipulating user preferences in collaborative filtering

J Kunkel, B Loepp, J Ziegler - … of the 22nd international conference on …, 2017 - dl.acm.org
While conventional Recommender Systems perform well in automatically generating
personalized suggestions, it is often difficult for users to understand why certain items are …

Towards designing robo-advisors for unexperienced investors with experience sampling of time-series data

F Glaser, Z Iliewa, D Jung, M Weber - Information Systems and …, 2019 - Springer
We propose an experimental study to examine how to optimally design a robo-advisor for
the purposes of financial risk taking. Specifically, we focus on robo-advisors which are able …

Trust-aware denoising autoencoder with spatial-temporal activity for cross-domain personalized recommendations

A Ahmed, K Saleem, O Khalid, J Gao, U Rashid - Neurocomputing, 2022 - Elsevier
Recently, cross-domain recommendation systems have been very helpful in improving the
quality of recommendation and solving the problem of cold start and data sparsity. Cross …

A personalized time-sequence-based book recommendation algorithm for digital libraries

F Zhang - IEEE access, 2016 - ieeexplore.ieee.org
Book recommendations are of great significance in colleges and universities. Although
current recommendation approaches have made significant achievements, these …

Modeling tourists' personality in recommender systems: how does personality influence preferences for tourist attractions?

P Alves, P Saraiva, J Carneiro, P Campos… - Proceedings of the 28th …, 2020 - dl.acm.org
Personalization is increasingly being perceived as an important factor for the effectiveness
of Recommender Systems (RS). This is especially true in the tourism domain, where …

Datasets for context-aware recommender systems: Current context and possible directions

S Ilarri, R Trillo-Lado, R Hermoso - 2018 IEEE 34th …, 2018 - ieeexplore.ieee.org
Recommender systems alleviate the overload experienced by users when they have to
choose among a large set of options. They are interesting both from a commercial point of …

Modeling a mobile group recommender system for tourism with intelligent agents and gamification

P Alves, J Carneiro, G Marreiros, P Novais - International Conference on …, 2019 - Springer
To provide recommendations to groups of people is a complex task, especially due to the
group's heterogeneity and conflicting preferences and personalities. This heterogeneity is …

A gamified word of mouth recommendation system for increasing customer purchase

M Hajarian, S Hemmati - … Conference on Smart City, Internet of …, 2020 - ieeexplore.ieee.org
Nowadays, gamification is implemented in different software applications to increase user
engagement. On the other hand, the recommendation systems have been around for a long …