Recommendation System for Journals based on ELMo and Deep Learning
Author:
Affiliation:
1. ETH Library ETH Zurich,Zurich,Switzerland
2. University of Applied Sciences of the Grisons,Center for Data Analysis, Visualization, and Simulation (DAViS),Chur,Switzerland
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10196673/10196677/10196701.pdf?arnumber=10196701
Reference30 articles.
1. Content-based book recommending using learning for text categorization
2. Empirical analysis of predictive algorithms for collaborative filtering;breese;CoRR,2013
3. Recommender systems survey
4. Tailoring Music Recommendations to Users by Considering Diversity, Mainstreaminess, and Novelty
5. Do papers (really) match journals';santos;aims and scope''? A computational assessment of innovation studies '' Scientometrics,2022
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