Scientific paper recommendation systems: a literature review of recent publications
CK Kreutz, R Schenkel - International journal on digital libraries, 2022 - Springer
Scientific writing builds upon already published papers. Manual identification of publications
to read, cite or consider as related papers relies on a researcher's ability to identify fitting …
to read, cite or consider as related papers relies on a researcher's ability to identify fitting …
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 …
Multichannel personalization: Identifying consumer preferences for product recommendations in advertisements across different media channels
Nowadays, many retailers use personalization in advertising to increase customers'
awareness and interest in their offers. Product recommendations are a common form of …
awareness and interest in their offers. Product recommendations are a common form of …
Time-aware recommender systems: A comprehensive survey and quantitative assessment of literature
R Alabduljabbar, M Alshareef, N Alshareef - IEEE Access, 2023 - ieeexplore.ieee.org
Recommender systems (RS) are among the most widely used applications in data mining
and machine-learning technologies. These technologies recommend relevant products to …
and machine-learning technologies. These technologies recommend relevant products to …
Mr. DLib: recommendations-as-a-service (RaaS) for academia
Only few digital libraries and reference managers offer recommender systems, although
such systems could assist users facing information overload. In this paper, we introduce Mr …
such systems could assist users facing information overload. In this paper, we introduce Mr …
A study of position bias in digital library recommender systems
" Position bias" describes the tendency of users to interact with items on top of a list with
higher probability than with items at a lower position in the list, regardless of the items' actual …
higher probability than with items at a lower position in the list, regardless of the items' actual …
The 'unreasonable'effectiveness of graphical user interfaces for recommender systems
J Beel, H Dixon - Adjunct Proceedings of the 29th ACM Conference on …, 2021 - dl.acm.org
The impact of Graphical User Interfaces (GUI) for recommender systems is a little explored
area. Therefore, we conduct an empirical study in which we create, deploy, and evaluate …
area. Therefore, we conduct an empirical study in which we create, deploy, and evaluate …
Hidden features identification for designing an efficient research article recommendation system
The digital repository of research articles is increasing at a rapid rate and hence searching
the right paper becoming a tedious task for researchers. A research paper recommendation …
the right paper becoming a tedious task for researchers. A research paper recommendation …
The impacts of relevance of recommendations and goal commitment on user experience in news recommender design
Cold start and data sparsity are problems hindering the function of news recommender
systems. Optimally serving first-time users through relevant news article recommendations is …
systems. Optimally serving first-time users through relevant news article recommendations is …
Characterizing and predicting downloads in academic search
X Li, M de Rijke - Information Processing & Management, 2019 - Elsevier
Numerous studies have been conducted on the information interaction behavior of search
engine users. Few studies have considered information interactions in the domain of …
engine users. Few studies have considered information interactions in the domain of …