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 …
Informed Dataset Selection with 'Algorithm Performance Spaces'
When designing recommender-systems experiments, a key question that has been largely
overlooked is the choice of datasets. In a brief survey of ACM RecSys papers, we found that …
overlooked is the choice of datasets. In a brief survey of ACM RecSys papers, we found that …
Document embeddings vs. keyphrases vs. terms for recommender systems: a large-scale online evaluation
Many recommendation algorithms are available to digital library recommender system
operators. The effectiveness of algorithms is largely unreported by way of online evaluation …
operators. The effectiveness of algorithms is largely unreported by way of online evaluation …
[PDF][PDF] Time-dependent Evaluation of Recommender Systems.
Abstract Evaluation of recommender systems is an actively discussed topic in the
recommender system community. However, some aspects of evaluation have received little …
recommender system community. However, some aspects of evaluation have received little …
Choice overload and recommendation effectiveness in related-article recommendations: Analyzing the Sowiport digital library
Choice overload describes a situation in which a person has difficulty in making decisions
due to too many options. We examine choice overload when displaying related-article …
due to too many options. We examine choice overload when displaying related-article …
[HTML][HTML] ArZiGo: A recommendation system for scientific articles
I Pinedo, M Larrañaga, A Arruarte - Information Systems, 2024 - Elsevier
The large number of scientific publications around the world is increasing at a rate of
approximately 4%–5% per year. This fact has resulted in the need for tools that deal with …
approximately 4%–5% per year. This fact has resulted in the need for tools that deal with …
Online evaluations for everyone: Mr. DLib's living lab for scholarly recommendations
We introduce the first 'living lab'for scholarly recommender systems. This lab allows
recommender-system researchers to conduct online evaluations of their novel algorithms for …
recommender-system researchers to conduct online evaluations of their novel algorithms for …
Per-instance algorithm selection for recommender systems via instance clustering
Recommendation algorithms perform differently if the users, recommendation contexts,
applications, and user interfaces vary even slightly. It is similarly observed in other fields …
applications, and user interfaces vary even slightly. It is similarly observed in other fields …
Academic Article Recommendation Using Multiple Perspectives
We argue that Content-based filtering (CBF) and Graph-based methods (GB) complement
one another in Academic Search recommendations. The scientific literature can be viewed …
one another in Academic Search recommendations. The scientific literature can be viewed …
Document embeddings vs. Keyphrases vs. Terms: An online evaluation in digital library recommender systems
Many recommendation algorithms are available to digital library recommender system
operators. The effectiveness of algorithms is largely unreported by way of online evaluation …
operators. The effectiveness of algorithms is largely unreported by way of online evaluation …