Rating and perceived helpfulness in a bipartite network of online product reviews
In many e-commerce platforms user communities share product information in the form of
reviews and ratings to help other consumers to make their choices. This study develops a …
reviews and ratings to help other consumers to make their choices. This study develops a …
Accurately or accidentally? Recommendation agent and search experience in over-the-top (OTT) services
Y Kwon, J Park, JY Son - Internet Research, 2021 - emerald.com
Purpose Over-the-top (OTT) services, which provide streaming media through all devices in
online setting, have surpassed the traditional content providers in the market. However …
online setting, have surpassed the traditional content providers in the market. However …
Understanding the drivers of cable TV cord shaving with big data
Over the years over-the-top (OTT) platforms such as Netflix and Hulu have attracted a lot of
customers and caused serious disruptions in the media and advertising industry. This paper …
customers and caused serious disruptions in the media and advertising industry. This paper …
Serendipity in recommender systems beyond the algorithm: A feature repository and experimental design
Serendipity in recommender systems is ought to improve the quality and usefulness of
recommendations. However, despite the increasing amount of attention in both research …
recommendations. However, despite the increasing amount of attention in both research …
Integration of deep reinforcement learning with collaborative filtering for movie recommendation systems
S Peng, S Siet, S Ilkhomjon, DY Kim, DS Park - Applied Sciences, 2024 - mdpi.com
In the era of big data, effective recommendation systems are essential for providing users
with personalized content and reducing search time on online platforms. Traditional …
with personalized content and reducing search time on online platforms. Traditional …
Interactive feedback loop with counterfactual data modification for serendipity in a recommendation system
G Jeon, S Kim, S Lee - International Journal of Human–Computer …, 2023 - Taylor & Francis
Users often encounter tedious recommendations as they are continuously exposed to the
recommendation system. In response to this issue, serendipity in a recommendation system …
recommendation system. In response to this issue, serendipity in a recommendation system …
In-destination online shopping: A new tourist shopping mode and innovation for cross-border tourists
YH Xu, FX Yang, MK Leong - Tourism Recreation Research, 2023 - Taylor & Francis
In-destination online shopping (DOS) refers to e-shopping by tourists for tangible goods in
destinations. The evolving landscape of the retail industry and consumer trends are …
destinations. The evolving landscape of the retail industry and consumer trends are …
The curatorial turn in tourism and hospitality
G Richards - International Journal of Contemporary Hospitality …, 2024 - emerald.com
Purpose This study, a conceptual paper, analyses the growth of curation in tourism and
hospitality and the curator role in selecting and framing products and experiences. It …
hospitality and the curator role in selecting and framing products and experiences. It …
User control and serendipitous recommendations in learning environments
AH Afridi - Procedia computer science, 2018 - Elsevier
This paper reports about the study of serendipitous recommendations generation by
recommender systems in educational environments. The recommender system provides …
recommender systems in educational environments. The recommender system provides …
Stakeholders analysis for serendipitous recommenders system in learning environments
AH Afridi - Procedia computer science, 2018 - Elsevier
This paper reports on a 360 degree stakeholder analysis for the study and design of a study
material recommender system at Institute of Management Sciences, Peshawar, Pakistan …
material recommender system at Institute of Management Sciences, Peshawar, Pakistan …