Signaling persuasion in crowdfunding entrepreneurial narratives: the subjectivity vs objectivity debate
A crowdfunding narrative often has a title, abstract, detailed description, reward statements,
and the creators' biographies, which carry elements of subjectivity and objectivity in their …
and the creators' biographies, which carry elements of subjectivity and objectivity in their …
Monitoring and recognizing enterprise public opinion from high-risk users based on user portrait and random forest algorithm
T Chen, X Yin, L Peng, J Rong, J Yang, G Cong - Axioms, 2021 - mdpi.com
With the rapid development of “We media” technology, netizens can freely express their
opinions regarding enterprise products on a network platform. Consequently, online public …
opinions regarding enterprise products on a network platform. Consequently, online public …
Enhanced vaccine recommender system to prevent COVID-19 based on clustering and classification
BN Adday, FAJ Shaban, MR Jawad… - … on engineering and …, 2021 - ieeexplore.ieee.org
Due to the fact that countries are presently dealing with the third wave of COVID-19
pandemic and in present time, the data of vaccines for preventing COVID-19 has triggered …
pandemic and in present time, the data of vaccines for preventing COVID-19 has triggered …
User-centric evaluation of recommender systems: a literature review
K Nanath, M Ahmed - International Journal of Business …, 2023 - inderscienceonline.com
Recommender systems have seen a rapid rise of application in various industries, with
several services now being implemented online. Over the years, various authors have been …
several services now being implemented online. Over the years, various authors have been …
Social Network Data Enabling Smart Tourism
A Kontogianni, E Alepis - 2023 14th International Conference …, 2023 - ieeexplore.ieee.org
Smart Tourism is a concept that has been around for some years now, with its popularity
being demonstrated by the explosion of published and online resources devoted to the …
being demonstrated by the explosion of published and online resources devoted to the …
Impact of similarity measures in K-means clustering method used in movie recommender systems
One of the most challenging tasks in today's era is to deliver personalized information to the
user or group of users according to their preferences. The decision making process is used …
user or group of users according to their preferences. The decision making process is used …
Movie Recommender System using Single Value Decomposition and K-means Clustering
The recommender system is technique and tool to filter the massive overloaded information
for suggesting most useful information to the user in a personalized manner. In the period of" …
for suggesting most useful information to the user in a personalized manner. In the period of" …
Comprehensive Assessment of Big Data in Recommendation Systems
Developments in web-based e-commerce platforms cause recommendation systems to gain
increasing importance. Recommendation systems are systems developed to provide …
increasing importance. Recommendation systems are systems developed to provide …
Mobile Applications in Smart Tourism: Implementing User Modelling
Abstract Currently, there are 6.8 billion smartphone users worldwide while, at the same time,
people of all ages actively engage with social networking sites for business, socialising …
people of all ages actively engage with social networking sites for business, socialising …
Microblogs recommendations based on implicit similarity in content social networks
With the development of online social networking applications, microblogs have become a
necessary online communication network in daily life. Users are interested in obtaining …
necessary online communication network in daily life. Users are interested in obtaining …