Multistakeholder recommendation: Survey and research directions
Recommender systems provide personalized information access to users of Internet
services from social networks to e-commerce to media and entertainment. As is appropriate …
services from social networks to e-commerce to media and entertainment. As is appropriate …
Recommender systems—beyond matrix completion
Recommender systems â•fl beyond matrix completion Page 1 94 COMMUNICATIONS OF THE
ACM | NOVEMBER 2016 | VOL. 59 | NO. 11 review articles THE USE OF recommender systems …
ACM | NOVEMBER 2016 | VOL. 59 | NO. 11 review articles THE USE OF recommender systems …
Explaining online shopping behavior with fsQCA: The role of cognitive and affective perceptions
This study uses complexity theory to explain and better understand the causal patterns of
factors stimulating online shopping behavior in personalized e-commerce environments. To …
factors stimulating online shopping behavior in personalized e-commerce environments. To …
Explaining citizens' resistance to use digital contact tracing apps: A mixed-methods study
AV Prakash, S Das - International Journal of Information Management, 2022 - Elsevier
Governments worldwide are using digital contact tracing (DCT) apps as a critical element in
their COVID-19 pandemic lockdown exit strategy. Despite substantial investment in research …
their COVID-19 pandemic lockdown exit strategy. Despite substantial investment in research …
What recommenders recommend: an analysis of recommendation biases and possible countermeasures
Most real-world recommender systems are deployed in a commercial context or designed to
represent a value-adding service, eg, on shopping or Social Web platforms, and typical …
represent a value-adding service, eg, on shopping or Social Web platforms, and typical …
Recommendation quality, transparency, and website quality for trust-building in recommendation agents
Trust is a main success factor for automated recommendation agents on e-commerce sites.
Various aspects can contribute to the development of trust toward such an agent, including …
Various aspects can contribute to the development of trust toward such an agent, including …
Understanding AI-based customer service resistance: A perspective of defective AI features and tri-dimensional distrusting beliefs
Communicating with customers through AI-based chatbots in customer service (AISC) has
become increasingly popular for many companies. However, in actual service encounters …
become increasingly popular for many companies. However, in actual service encounters …
[HTML][HTML] Empirical analysis of session-based recommendation algorithms: a comparison of neural and non-neural approaches
Recommender systems are tools that support online users by pointing them to potential
items of interest in situations of information overload. In recent years, the class of session …
items of interest in situations of information overload. In recent years, the class of session …
Two-stage travel itinerary recommendation optimization model considering stochastic traffic time
Y Ding, L Zhang, C Huang, R Ge - Expert Systems with Applications, 2024 - Elsevier
In an increasingly competitive market, most online tour operators have launched
personalized travel itinerary recommendation services. Different from previous studies, this …
personalized travel itinerary recommendation services. Different from previous studies, this …
Modeling consumer distrust of online hotel reviews
W Ahmad, J Sun - International Journal of Hospitality Management, 2018 - Elsevier
The online reviews literature has tended to focus on exploring perspectives such as the
recipient's attitude, reviews' message-based factors, reviews' trustworthiness, and hotel …
recipient's attitude, reviews' message-based factors, reviews' trustworthiness, and hotel …