Paper recommender systems: a literature survey
In the last 16 years, more than 200 research articles were published about research-paper
recommender systems. We reviewed these articles and present some descriptive statistics in …
recommender systems. We reviewed these articles and present some descriptive statistics in …
Research paper recommender system evaluation: a quantitative literature survey
Over 80 approaches for academic literature recommendation exist today. The approaches
were introduced and evaluated in more than 170 research articles, as well as patents …
were introduced and evaluated in more than 170 research articles, as well as patents …
Content-based citation recommendation
We present a content-based method for recommending citations in an academic paper draft.
We embed a given query document into a vector space, then use its nearest neighbors as …
We embed a given query document into a vector space, then use its nearest neighbors as …
Content‐based citation analysis: The next generation of citation analysis
Traditional citation analysis has been widely applied to detect patterns of scientific
collaboration, map the landscapes of scholarly disciplines, assess the impact of research …
collaboration, map the landscapes of scholarly disciplines, assess the impact 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 …
Neural citation network for context-aware citation recommendation
The accelerating rate of scientific publications makes it difficult to find relevant citations or
related work. Context-aware citation recommendation aims to solve this problem by …
related work. Context-aware citation recommendation aims to solve this problem by …
A neural probabilistic model for context based citation recommendation
Automatic citation recommendation can be very useful for authoring a paper and is an AI-
complete problem due to the challenge of bridging the semantic gap between citation …
complete problem due to the challenge of bridging the semantic gap between citation …
A survey on scholarly data: From big data perspective
Recently, there has been a shifting focus of organizations and governments towards
digitization of academic and technical documents, adding a new facet to the concept of …
digitization of academic and technical documents, adding a new facet to the concept of …
VOPRec: Vector representation learning of papers with text information and structural identity for recommendation
Finding relevant papers is a non-trivial problem for scholars due to the tremendous amount
of academic information in the era of scholarly big data. Scientific paper recommendation …
of academic information in the era of scholarly big data. Scientific paper recommendation …
Cluscite: Effective citation recommendation by information network-based clustering
Citation recommendation is an interesting but challenging research problem. Most existing
studies assume that all papers adopt the same criterion and follow the same behavioral …
studies assume that all papers adopt the same criterion and follow the same behavioral …