XQ
Xinghua Qu
Authored
4 records found
DaisyRec 2.0
Benchmarking Recommendation for Rigorous Evaluation
Recently, one critical issue looms large in the field of recommender systems - there are no effective benchmarks for rigorous evaluation - which consequently leads to unreproducible evaluation and unfair comparison. We, therefore, conduct studies from the perspectives of practica
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Revisiting Bundle Recommendation
Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling
With tremendous amount of recommendation algorithms proposed every year, one critical issue has attracted a considerable amount of attention: there are no effective benchmarks for evaluation, which leads to two major concerns, i.e., unreproducible evaluation and unfair comparison
...
With tremendous amount of recommendation algorithms proposed every year, one critical issue has attracted a considerable amount of attention: there are no effective benchmarks for evaluation, which leads to two major concerns, i.e., unreproducible evaluation and unfair comparison
...