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 …
SHARE: Designing multiple criteria-based personalized research paper recommendation system
Extraneous growth of scientific information over the Internet makes the searching task non-
trivial and as a consequence researchers are facing difficulties in finding relevant papers …
trivial and as a consequence researchers are facing difficulties in finding relevant papers …
English text analysis system based on genetic algorithm
J Yao, J Xu - Mobile Information Systems, 2022 - Wiley Online Library
In order to accurately extract the useful information in English, this paper studies English text
analysis combined with a genetic algorithm and establishes a text analysis system. In this …
analysis combined with a genetic algorithm and establishes a text analysis system. In this …
Semantic Interest Modeling and Content-Based Scientific Publication Recommendation Using Word Embeddings and Sentence Encoders
The fast growth of data in the academic field has contributed to making recommendation
systems for scientific papers more popular. Content-based filtering (CBF), a pivotal …
systems for scientific papers more popular. Content-based filtering (CBF), a pivotal …
Emati: a recommender system for biomedical literature based on supervised learning
Ö Kart, A Mestiashvili, K Lachmann, R Kwasnicki… - Database, 2022 - academic.oup.com
The scientific literature continues to grow at an ever-increasing rate. Considering that
thousands of new articles are published every week, it is obvious how challenging it is to …
thousands of new articles are published every week, it is obvious how challenging it is to …
[HTML][HTML] Automating Research Problem Framing and Exploration through Knowledge Extraction from Bibliometric Data
The steep rate at which the number of research outputs has been growing (eg, books,
journal articles, conference proceedings, patents, and other work in digital format) produces …
journal articles, conference proceedings, patents, and other work in digital format) produces …
Improving Autoencoder-Based Recommendation Systems
Recommendation systems help in providing suggestions regarding the products/services
that the users might be interested in by analyzing ratings, reviews, and other feedback …
that the users might be interested in by analyzing ratings, reviews, and other feedback …
Effective community detection with topic modeling in article recommender systems using LS-SLM and PCC-LDA
SK Rachamadugu, TP Pushphavathi - Journal of Intelligent & Fuzzy … - content.iospress.com
This paper introduces an innovative approach, the LS-SLM (Local Search with Smart Local
Moving) technique, for enhancing the efficiency of article recommendation systems based …
Moving) technique, for enhancing the efficiency of article recommendation systems based …
Topic Evolution Model for Interactive Information Search
H Adhav, V Singh - … Intelligence in Data Mining: Proceedings of ICCIDM …, 2022 - Springer
In the modern context, as the data generated is exponential, finding meaningful patterns
from large datasets is an urgent need. A 'Topic Evolution Model'could generate the …
from large datasets is an urgent need. A 'Topic Evolution Model'could generate the …