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 …
Scientific paper recommendation: A survey
Globally, the recommendation services have become important due to the fact that they
support e-commerce applications and different research communities. Recommender …
support e-commerce applications and different research communities. Recommender …
[PDF][PDF] Google Scholar's ranking algorithm: an introductory overview
Google Scholar is one of the major academic search engines but its ranking algorithm for
academic articles is unknown. We performed the first steps to reverse-engineering Google …
academic articles is unknown. We performed the first steps to reverse-engineering Google …
A systematic review of scholar context-aware recommender systems
ZD Champiri, SR Shahamiri, SSB Salim - Expert Systems with Applications, 2015 - Elsevier
Incorporating contextual information in recommender systems is an effective approach to
create more accurate and relevant recommendations. This review has been conducted to …
create more accurate and relevant recommendations. This review has been conducted to …
Science Concierge: A fast content-based recommendation system for scientific publications
Finding relevant publications is important for scientists who have to cope with exponentially
increasing numbers of scholarly material. Algorithms can help with this task as they help for …
increasing numbers of scholarly material. Algorithms can help with this task as they help for …
Academic paper recommender system using multilevel simultaneous citation networks
J Son, SB Kim - Decision Support Systems, 2018 - Elsevier
Researchers typically need to filter several academic papers to find those relevant to their
research. This filtering is cumbersome and time-consuming because the number of …
research. This filtering is cumbersome and time-consuming because the number of …
A collaborative approach for research paper recommender system
Research paper recommenders emerged over the last decade to ease finding publications
relating to researchers' area of interest. The challenge was not just to provide researchers …
relating to researchers' area of interest. The challenge was not just to provide researchers …
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 …
A scalable hybrid research paper recommender system for microsoft academic
We present the design and methodology for the large scale hybrid paper recommender
system used by Microsoft Academic. The system provides recommendations for …
system used by Microsoft Academic. The system provides recommendations for …