JTH: A Dataset for Evaluating Cold-Start and Temporal Dynamics in Job Recommendation
Job-matching platforms operate under brief and asymmetric lifetimes: vacancies close in weeks, while candidates are active for only a few days. Consequently, real-world recommenders must cope with pervasive cold start, extreme sparsity, and shifting temporal overlap. Existing public benchmarks lack the rich two-sided s...