23 citations · 69 across the 10 of their papers we have counts for
3 papers · 1 filter
Density-Ratio Based Personalised Ranking from Implicit Feedback
Riku Togashi, Masahiro Kato, Mayu Otani +1
Learning from implicit user feedback is challenging as we can only observe positive samples but never access negative ones. Most conventional methods cope with this issue by adopti…
Alleviating Cold-Start Problems in Recommendation through Pseudo-Labelling over Knowledge Graph
Riku Togashi, Mayu Otani, Shin'ichi Satoh
Solving cold-start problems is indispensable to provide meaningful recommendation results for new users and items. Under sparsely observed data, unobserved user-item pairs are also…
Tracked Instance Search
Andreu Girbau, Ryota Hinami, Shin'ichi Satoh
In this work we propose tracking as a generic addition to the instance search task. From video data perspective, much information that can be used is not taken into account in the…