eprintid: 10136206
rev_number: 12
eprint_status: archive
userid: 608
dir: disk0/10/13/62/06
datestamp: 2021-10-12 14:41:55
lastmod: 2021-10-12 14:41:55
status_changed: 2021-10-12 14:41:55
type: proceedings_section
metadata_visibility: show
creators_name: Tenti, P
creators_name: Thomas, J
creators_name: Peñaloza, R
creators_name: Pasi, G
title: Using an ensemble of features for personalized recommendations of scientific publications
ispublished: inpress
divisions: UCL
divisions: B16
divisions: B14
divisions: J81
note: This work is licensed under a Creative Commons Attribution 4.0 International License. The images
or other third party material in this article are included in the Creative Commons license,
unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license,
users will need to obtain permission from the license holder to reproduce the material. To view a copy of this
license, visit http://creativecommons.org/licenses/by/4.0/
abstract: Maintaining reviews of scientific publications as soon as new relevant publications are available is a typical challenge to many research communities. We address this challenge as a content-based recommendation problem, where the publications already selected for a review drive the recommendation of the new publications. In addition, resources such as domain databases, ontologies and academic graphs provide structured information about publications (e.g., authors, journals, conferences). Our experiments show that a simple model based on that structured information to represent publications achieve high precision and recall, and outperform models that use more sophisticated representations based on embeddings.
date: 2021
date_type: published
publisher: CEUR-WS
official_url: http://ceur-ws.org/
oa_status: green
full_text_type: pub
language: eng
primo: open
primo_central: open_green
verified: verified_manual
elements_id: 1892840
lyricists_name: Thomas, James
lyricists_id: JTHOA32
actors_name: Flynn, Bernadette
actors_id: BFFLY94
actors_role: owner
full_text_status: public
publication: CEUR Workshop Proceedings
volume: 2947
event_title: CEUR Workshop Proceedings
citation:        Tenti, P;    Thomas, J;    Peñaloza, R;    Pasi, G;      (2021)    Using an ensemble of features for personalized recommendations of scientific publications.                     In:   (Proceedings) CEUR Workshop Proceedings.   CEUR-WS    (In press).    Green open access   
 
document_url: https://discovery.ucl.ac.uk/id/eprint/10136206/1/paper30.pdf