Personalized recommendation system based on collaborative filtering for IoT scenarios
Z Cui, X Xu, XUE Fei, X Cai, Y Cao… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Recommendation technology is an important part of the Internet of Things (IoT) services,
which can provide better service for users and help users get information anytime …
which can provide better service for users and help users get information anytime …
A hybrid knowledge-based recommender system for e-learning based on ontology and sequential pattern mining
In recent years, there has been significant growth in the use of online learning resources by
learners. However, due to information overload, many learners are experiencing difficulties …
learners. However, due to information overload, many learners are experiencing difficulties …
A hybrid recommender system for e-learning based on context awareness and sequential pattern mining
The rapid evolution of the Internet has resulted in the availability of huge volumes of online
learning resources on the web. However, many learners encounter difficulties in retrieval of …
learning resources on the web. However, many learners encounter difficulties in retrieval of …
Covering-based web service quality prediction via neighborhood-aware matrix factorization
The number of Web services on the Internet has been growing rapidly. This has made it
increasingly difficult for users to find the right services from a large number of functionally …
increasingly difficult for users to find the right services from a large number of functionally …
A survey of collaborative filtering-based recommender systems for mobile internet applications
With the rapid development and application of the mobile Internet, huge amounts of user
data are generated and collected every day. How to take full advantages of these ubiquitous …
data are generated and collected every day. How to take full advantages of these ubiquitous …
Integrated content and network-based service clustering and web apis recommendation for mashup development
The rapid growth in the number and diversity of Web APIs, coupled with the myriad of
functionally similar Web APIs, makes it difficult to find most suitable Web APIs for users to …
functionally similar Web APIs, makes it difficult to find most suitable Web APIs for users to …
An ontology-based hybrid e-learning content recommender system for alleviating the cold-start problem
J Jeevamol, VG Renumol - Education and Information Technologies, 2021 - Springer
An e-learning recommender system (RS) aims to generate personalized recommendations
based on learner preferences and goals. The existing RSs in the e-learning domain still …
based on learner preferences and goals. The existing RSs in the e-learning domain still …
A survey on web service QoS prediction methods
SH Ghafouri, SM Hashemi… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Nowadays, there are many Web services with similar functionality on the Internet. Users
consider Quality of Service (QoS) of the services to select the best service from among them …
consider Quality of Service (QoS) of the services to select the best service from among them …
TAP: A personalized trust-aware QoS prediction approach for web service recommendation
K Su, B Xiao, B Liu, H Zhang, Z Zhang - Knowledge-Based Systems, 2017 - Elsevier
With the rapid development of service-oriented computing, cloud computing and big data, a
large number of functionally equivalent web services are available on the Internet. Quality of …
large number of functionally equivalent web services are available on the Internet. Quality of …
Mashup recommendation by regularizing matrix factorization with API co-invocations
Mashups are a dominant approach for building data-centric applications, especially mobile
applications, in recent years. Since mashups are predominantly based on public data …
applications, in recent years. Since mashups are predominantly based on public data …