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Job recommendations: benchmarking of collaborative filtering methods for classifieds
19 January 2023
Robert Kwieciñski
A. Filipowska
Tomasz Górecki
V. Dubrov
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Papers citing
"Job recommendations: benchmarking of collaborative filtering methods for classifieds"
11 / 11 papers shown
Title
Challenging the Myth of Graph Collaborative Filtering: a Reasoned and Reproducibility-driven Analysis
Vito Walter Anelli
Daniele Malitesta
Claudio Pomo
Alejandro Bellogín
Tommaso Di Noia
E. Sciascio
68
10
0
01 Aug 2023
When Newer is Not Better: Does Deep Learning Really Benefit Recommendation From Implicit Feedback?
Yushun Dong
Jundong Li
Tobias Schnabel
65
9
0
02 May 2023
Reenvisioning Collaborative Filtering vs Matrix Factorization
Vito Walter Anelli
Alejandro Bellogín
Tommaso Di Noia
Claudio Pomo
29
26
0
28 Jul 2021
Deep Job Understanding at LinkedIn
Shan Li
Baoxu Shi
Jaewon Yang
Ji Yan
Shuai Wang
Fei Chen
Qi He
HAI
16
34
0
29 May 2020
A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research
Maurizio Ferrari Dacrema
Simone Boglio
Paolo Cremonesi
Dietmar Jannach
37
197
0
18 Nov 2019
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches
Maurizio Ferrari Dacrema
Paolo Cremonesi
Dietmar Jannach
46
584
0
16 Jul 2019
Neural Graph Collaborative Filtering
Xiang Wang
Xiangnan He
Meng Wang
Fuli Feng
Tat-Seng Chua
154
2,965
0
20 May 2019
E-commerce in Your Inbox: Product Recommendations at Scale
Mihajlo Grbovic
Vladan Radosavljevic
Nemanja Djuric
Narayan L. Bhamidipati
Jaikit Savla
Varun Bhagwan
Doug Sharp
48
307
0
23 Jun 2016
Item2Vec: Neural Item Embedding for Collaborative Filtering
Oren Barkan
Noam Koenigstein
DML
137
504
0
14 Mar 2016
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
349
33,500
0
16 Oct 2013
BPR: Bayesian Personalized Ranking from Implicit Feedback
Steffen Rendle
Christoph Freudenthaler
Zeno Gantner
Lars Schmidt-Thieme
BDL
114
5,716
0
09 May 2012
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