Deep learning in citation recommendation models survey
The huge amount of research papers on the web makes finding a relevant manuscript a
difficult task. In recent years many models were introduced to support researchers by …
difficult task. In recent years many models were introduced to support researchers by …
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 …
Citation recommendation: approaches and datasets
Citation recommendation describes the task of recommending citations for a given text. Due
to the overload of published scientific works in recent years on the one hand, and the need …
to the overload of published scientific works in recent years on the one hand, and the need …
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 …
Recommending scientific paper via heterogeneous knowledge embedding based attentive recurrent neural networks
Tremendous academic information causes serious information overload problems while
supporting scientific research. Scientific paper and citation recommendation systems have …
supporting scientific research. Scientific paper and citation recommendation systems have …
Global citation recommendation employing generative adversarial network
The variety and plethora of research papers available on the Web motivated researchers to
propose models that could assist users with personalized citation recommendations. In …
propose models that could assist users with personalized citation recommendations. In …
SPR-SMN: Scientific paper recommendation employing SPECTER with memory network
During the last decades, recommender systems are becoming quite popular since they
provide great assistance to users on social networks and library websites. Unfortunately, the …
provide great assistance to users on social networks and library websites. Unfortunately, the …
A comprehensive review of recommender systems: Transitioning from theory to practice
Recommender Systems (RS) play an integral role in enhancing user experiences by
providing personalized item suggestions. This survey reviews the progress in RS inclusively …
providing personalized item suggestions. This survey reviews the progress in RS inclusively …
An overview and evaluation of citation recommendation models
Recommendation systems assist web users with personalized suggestions based on past
preferences for products, or items including documents, books, movies, and research …
preferences for products, or items including documents, books, movies, and research …
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 …