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A Case Study on Sampling Strategies for Evaluating Neural Sequential
  Item Recommendation Models

A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models

27 July 2021
Alexander Dallmann
Daniel Zoller
Andreas Hotho
ArXivPDFHTML

Papers citing "A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models"

2 / 2 papers shown
Title
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
Chengbing Wang
Wentao Shi
Jizhi Zhang
Wenjie Wang
Hang Pan
Fuli Feng
92
1
0
07 Sep 2024
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction
Elisabeth Fischer
Albin Zehe
Andreas Hotho
Daniel Schlor
HAI
62
0
0
28 Aug 2024
1