Customer reviews analysis with deep neural networks for e-commerce recommender systems
BM Shoja, N Tabrizi - IEEE access, 2019 - ieeexplore.ieee.org
An essential prerequisite of an effective recommender system is providing helpful
information regarding users and items to generate high-quality recommendations. Written …
information regarding users and items to generate high-quality recommendations. Written …
If you build it, they won't come: what motivates employees to create and share tagged content: a theoretical model and empirical validation
The purpose of this paper is to investigate factors influencing employees' knowledge-
sharing behavior on social tagging supported systems. Using the strong theoretical …
sharing behavior on social tagging supported systems. Using the strong theoretical …
A probabilistic topic model for mashup tag recommendation
Mashups are prevalent Service-Oriented Architecture (SOA) based applications consisting
of multiple Web Application Programming Interfaces (APIs) and content. Tags have been …
of multiple Web Application Programming Interfaces (APIs) and content. Tags have been …
Tags-aware recommender systems: a systematic review
BM Shoja, N Tabrizi - … on Big Data, Cloud Computing, Data …, 2019 - ieeexplore.ieee.org
Due to the recent growth of available online data on customers and clients as well as social
tagging becoming popular, tag-aware recommender systems are attracting more attention …
tagging becoming popular, tag-aware recommender systems are attracting more attention …
A topic-sensitive method for mashup tag recommendation utilizing multi-relational service data
Tagging systems have been widely used as a major way of managing Web service
resources. Many portals such as ProgrammableWeb and BioCatalogue allow users to …
resources. Many portals such as ProgrammableWeb and BioCatalogue allow users to …
Supporting collaborative learning with tag recommendations: a real-world study in an inquiry-based classroom project
In online social learning environments, tagging has demonstrated its potential to facilitate
search, to improve recommendations and to foster reflection and learning. Studies have …
search, to improve recommendations and to foster reflection and learning. Studies have …
A controlled crowdsourcing approach for practical ontology extensions and metadata annotations
Traditional approaches to ontology development have a large lapse between the time when
a user using the ontology has found a need to extend it and the time when it does get …
a user using the ontology has found a need to extend it and the time when it does get …
[HTML][HTML] Bridging the Gap between the Social and Semantic Web: Extracting domain-specific ontology from folksonomy
M Alruqimi, N Aknin - Journal of King Saud University-Computer and …, 2019 - Elsevier
Folksonomies have become very popular as means to organize large sets of resources
shared over the Social Web. The bottom-up nature of folksonomies has proved to be an …
shared over the Social Web. The bottom-up nature of folksonomies has proved to be an …
Balancing the fluency-consistency tradeoff in collaborative information search with a recommender approach
Creative group work can be supported by collaborative search and annotation of Web
resources. In this setting, it is important to help individuals both stay fluent in generating …
resources. In this setting, it is important to help individuals both stay fluent in generating …
A hybrid approach for automatic mashup tag recommendation
Tags have been extensively utilized to annotate Web services, which is beneficial to the
management, classification and retrieval of Web service data. In the past, a plenty of work …
management, classification and retrieval of Web service data. In the past, a plenty of work …