86 citations · 144 across the 5 of their papers we have counts for
Showing 2021Show all
2 papers · 1 filter
cs.DB2021
Reverse Maximum Inner Product Search: How to efficiently find users who would like to buy my item?
Daichi Amagata, Takahiro Hara
The MIPS (maximum inner product search), which finds the item with the highest inner product with a given query user, is an essential problem in the recommendation field. It is usu…
cs.IR2021
Using Social Media Background to Improve Cold-start Recommendation Deep Models
Yihong Zhang, Takuya Maekawa, Takahiro Hara
In recommender systems, a cold-start problem occurs when there is no past interaction record associated with the user or item. Typical solutions to the cold-start problem make use…