Automl for deep recommender systems: A survey
Recommender systems play a significant role in information filtering and have been utilized
in different scenarios, such as e-commerce and social media. With the prosperity of deep …
in different scenarios, such as e-commerce and social media. With the prosperity of deep …
Getting value from Business Intelligence systems: A review and research agenda
VH Trieu - Decision Support Systems, 2017 - Elsevier
Much of the research on Business Intelligence (BI) has examined the ability of BI systems to
help organizations address challenges and opportunities. However, the literature is …
help organizations address challenges and opportunities. However, the literature is …
[HTML][HTML] The impact of blockchain on e-commerce: a framework for salient research topics
H Treiblmaier, C Sillaber - Electronic Commerce Research and …, 2021 - Elsevier
Blockchain-based technologies are predicted as major disruptors for numerous business
applications and processes, which bears huge implications for e-commerce. Given the …
applications and processes, which bears huge implications for e-commerce. Given the …
Exploring the role of personality, trust, and privacy in customer experience performance during voice shopping: Evidence from SEM and fuzzy set qualitative …
Voice shopping is becoming increasingly popular among consumers due to the ubiquitous
presence of artificial intelligence (AI)-based voice assistants in our daily lives. This study …
presence of artificial intelligence (AI)-based voice assistants in our daily lives. This study …
Estimation-action-reflection: Towards deep interaction between conversational and recommender systems
Recommender systems are embracing conversational technologies to obtain user
preferences dynamically, and to overcome inherent limitations of their static models. A …
preferences dynamically, and to overcome inherent limitations of their static models. A …
Siri, Alexa, and other digital assistants: a study of customer satisfaction with artificial intelligence applications
Digital assistants (eg, Apple's Siri, Amazon's Alexa, Google's Google Assistant) are highly
complex and advanced artificial intelligence (AI) based technologies. Individuals can use …
complex and advanced artificial intelligence (AI) based technologies. Individuals can use …
Human vs. automated sales agents: How and why customer responses shift across sales stages
Customers in sales processes increasingly encounter automated sales agents (ASAs) that
complement or replace human sales agents (HSAs). Yet, little is known about whether, how …
complement or replace human sales agents (HSAs). Yet, little is known about whether, how …
Not just an ego-trip: Exploring backers' motivation for funding in incentive-based crowdfunding
U Bretschneider, JM Leimeister - The Journal of Strategic Information …, 2017 - Elsevier
Incentive-based forms of crowdfunding–such as reward-, equity-and lending-based
crowdfunding–are becoming increasingly popular. However, research that studies backers' …
crowdfunding–are becoming increasingly popular. However, research that studies backers' …
[PDF][PDF] User interaction with AI-enabled systems: A systematic review of IS research
The improved performance of technological capabilities in the field of artificial intelligence
(AI), including computer vision and natural language processing, makes it possible to …
(AI), including computer vision and natural language processing, makes it possible to …
Learning from the Dark Web: leveraging conversational agents in the era of hyper-privacy to enhance marketing
The Web is a constantly evolving, complex system, with important implications for both
marketers and consumers. In this paper, we contend that over the next five to ten years …
marketers and consumers. In this paper, we contend that over the next five to ten years …