TimeMM: Time-as-Operator Spectral Filtering for Dynamic Multimodal Recommendation

ArXi:2604.26247v1 Announce Type: cross Multimodal recommendation improves user modeling by integrating collaborative signals with heterogeneous item content. In real applications, user interests evolve over time and exhibit nonstationary dynamics, where different preference factors change at different rates. This challenge is amplified in multimodal settings because visual and textual cues can dominate decisions under different temporal regimes.