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...
Julien Romero, Yann Millet, Eric Behar· Proceedings of the 20th ACM...· 0 citations
This work presents TEMPS (Temporal Embedding Model for Precise Search), a modular temporal branch that attaches to a frozen semantic retriever and trains on that signal, and introduces Temporal Textual Similarity (TTS), a task that measures how well two anchored texts align in time, independent of their topical similar...
Mourad Hassani, Julien Romero, Amel Bouzeghoub et al.· 0 citations
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