Results 161 to 170 of about 2,780,368 (218)
ANIMATE: Unsupervised Attributed Graph Anomaly Detection with Masked Graph Transformers. [PDF]
Sensors (Basel)Hu J, Zhang Y, Zhu C, Hou C.
europepmc +1 more source
Integrating transformer-based credibility signals into neural collaborative filtering for fake review-aware recommendation. [PDF]
Sci RepAbdelmohsen Y, Wassif K, Ramadan N.
europepmc +1 more source
CMTS-GNN: a cross-modal temporal-spectral graph neural network with cognitive network explainability. [PDF]
Front NeurolWang Y, Meng L, Fan Y.
europepmc +1 more source
International Research Journal of Modernization in Engineering Technology & Scienceopenaire +1 more source
Some of the next articles are maybe not open access.
Related searches:
Related searches:
Detection of review spam: A survey
Expert Systems With Applications, 2015In recent years, online reviews have become the most important resource of customers' opinions. These reviews are used increasingly by individuals and organizations to make purchase and business decisions. Unfortunately, driven by the desire for profit or publicity, fraudsters have produced deceptive (spam) reviews.
Atefeh Heydari +2 more
exaly +3 more sources
Proceedings of the 16th international conference on World Wide Web, 2007
It is now a common practice for e-commerce Web sites to enable their customers to write reviews of products that they have purchased. Such reviews provide valuable sources of information on these products. They are used by potential customers to find opinions of existing users before deciding to purchase a product.
Nitin Jindal, Bing Liu 0001
openaire +2 more sources
It is now a common practice for e-commerce Web sites to enable their customers to write reviews of products that they have purchased. Such reviews provide valuable sources of information on these products. They are used by potential customers to find opinions of existing users before deciding to purchase a product.
Nitin Jindal, Bing Liu 0001
openaire +2 more sources
2017 IEEE 22nd Pacific Rim International Symposium on Dependable Computing (PRDC), 2017
In recent years, Instagram has become one of top 15 online social networks. However, popularity of Instagram also causes advertisement and spam posts flooding. Therefore, it is necessary to build a spam detection model to decrease number of spam posts in Instagram.
Wuxain Zhang, Hung-Min Sun
openaire +2 more sources
In recent years, Instagram has become one of top 15 online social networks. However, popularity of Instagram also causes advertisement and spam posts flooding. Therefore, it is necessary to build a spam detection model to decrease number of spam posts in Instagram.
Wuxain Zhang, Hung-Min Sun
openaire +2 more sources
Proceedings of the 5th International Workshop on Adversarial Information Retrieval on the Web, 2009
The popularity of social bookmarking sites has made them prime targets for spammers. Many of these systems require an administrator's time and energy to manually filter or remove spam. Here we discuss the motivations of social spam, and present a study of automatic detection of spammers in a social tagging system.
B. Markines, CATTUTO C, F. Menczer
openaire +3 more sources
The popularity of social bookmarking sites has made them prime targets for spammers. Many of these systems require an administrator's time and energy to manually filter or remove spam. Here we discuss the motivations of social spam, and present a study of automatic detection of spammers in a social tagging system.
B. Markines, CATTUTO C, F. Menczer
openaire +3 more sources
SMSAD: a framework for spam message and spam account detection
Multimedia Tools and Applications, 2017Short message communication media, such as mobile and microblogging social networks, have become attractive platforms for spammers to disseminate unsolicited contents. However, the traditional content-based methods for spam detection degraded in performance due to many factors.
Kayode Sakariyah Adewole +3 more
openaire +3 more sources