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An anatomization of research paper recommender system: Overview, approaches and challenges
The purpose of this study is to present an exhaustive analysis on research paper
recommender systems which have become very popular and gained a lot of research …
recommender systems which have become very popular and gained a lot of research …
Paper recommendation based on heterogeneous network embedding
Researchers face millions of research papers on various digital libraries. Therefore, finding
relevant research work that meets the preferences of a researcher is a challenging task …
relevant research work that meets the preferences of a researcher is a challenging task …
Supporting your idea reasonably: A knowledge-aware topic reasoning strategy for citation recommendation
With the explosive growth of scholarly information, researchers spend much time and effort
copiously quoting authoritative works to support their ideas or motivations. We aim to …
copiously quoting authoritative works to support their ideas or motivations. We aim to …
Reverse attack: Black-box attacks on collaborative recommendation
Collaborative filtering (CF) recommender systems have been extensively developed and
widely deployed in various social websites, promoting products or services to the users of …
widely deployed in various social websites, promoting products or services to the users of …
A graph-based taxonomy of citation recommendation models
Recommender systems have been used since the beginning of the Web to assist users with
personalized suggestions related to past preferences for items or products including books …
personalized suggestions related to past preferences for items or products including books …
Heterogeneous deep graph convolutional network with citation relational BERT for COVID-19 inline citation recommendation
The outbreak of COVID-19 brings almost the biggest explosions of scientific literature ever.
Facing such volume literature, it is hard for researches to find desired citation when carrying …
Facing such volume literature, it is hard for researches to find desired citation when carrying …
Citation recommendation employing heterogeneous bibliographic network embedding
The massive number of research articles on the Web makes it troublesome for researchers
to identify related works that could meet their preferences and interests. Consequently …
to identify related works that could meet their preferences and interests. Consequently …
Differentiated fashion recommendation using knowledge graph and data augmentation
C Yan, Y Chen, L Zhou - Ieee Access, 2019 - ieeexplore.ieee.org
E-commerce recommender systems (RSs) can help users quickly find what they need or
new products they might be interested in. To continuously enhance user trust in the website …
new products they might be interested in. To continuously enhance user trust in the website …
Content‐based and knowledge graph‐based paper recommendation: Exploring user preferences with the knowledge graphs for scientific paper recommendation
H Tang, B Liu, J Qian - Concurrency and Computation: Practice …, 2021 - Wiley Online Library
Researchers usually face difficulties in finding scientific papers relevant to their research
interests due to increasing growth. Recommender systems emerge as a leading solution to …
interests due to increasing growth. Recommender systems emerge as a leading solution to …
Biases in scholarly recommender systems: impact, prevalence, and mitigation
With the remarkable increase in the number of scientific entities such as publications,
researchers, and scientific topics, and the associated information overload in science …
researchers, and scientific topics, and the associated information overload in science …