67 citations · 339 across the 48 of their papers we have counts for
5 papers · 1 filter
The Architecture of Mr. DLib's Scientific Recommender-System API
Joeran Beel, Andrew Collins, Akiko Aizawa
Recommender systems in academia are not widely available. This may be in part due to the difficulty and cost of developing and maintaining recommender systems. Many operators of ac…
Context-Patch Face Hallucination Based on Thresholding Locality-constrained Representation and Reproducing Learning
Junjun Jiang, Yi Yu, Suhua Tang +3
Face hallucination is a technique that reconstruct high-resolution (HR) faces from low-resolution (LR) faces, by using the prior knowledge learned from HR/LR face pairs. Most state…
What Makes Reading Comprehension Questions Easier?
Saku Sugawara, Kentaro Inui, Satoshi Sekine +1
A challenge in creating a dataset for machine reading comprehension (MRC) is to collect questions that require a sophisticated understanding of language to answer beyond using supe…
Category-Based Deep CCA for Fine-Grained Venue Discovery from Multimodal Data
Yi Yu, Suhua Tang, Kiyoharu Aizawa +1
In this work, travel destination and business location are taken as venues. Discovering a venue by a photo is very important for context-aware applications. Unfortunately, few effo…
A Study of Position Bias in Digital Library Recommender Systems
Andrew Collins, Dominika Tkaczyk, Akiko Aizawa +1
"Position bias" describes the tendency of users to interact with items on top of a list with higher probability than with items at a lower position in the list, regardless of the i…