312 citations · 563 across the 32 of their papers we have counts for
7 papers · 1 filter
Combining Crowd and Machines for Multi-predicate Item Screening
Evgeny Krivosheev, Fabio Casati, Marcos Baez +1
This paper discusses how crowd and machine classifiers can be efficiently combined to screen items that satisfy a set of predicates. We show that this is a recurring problem in man…
Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network
Chaoran Huang, Lina Yao, Xianzhi Wang +2
Community Question Answering (CQA) websites can be claimed as the most major venues for knowledge sharing, and the most effective way of exchanging knowledge at present. Considerin…
Adversarial Collaborative Auto-encoder for Top-N Recommendation
Feng Yuan, Lina Yao, Boualem Benatallah
During the past decade, model-based recommendation methods have evolved from latent factor models to neural network-based models. Most of these techniques mainly focus on improving…
Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships
Chaoran Huang, Lina Yao, Xianzhi Wang +3
Knowledge acquisition and exchange are generally crucial yet costly for both businesses and individuals, especially when the knowledge concerns various areas. Question Answering Co…
Crowdsourcing Paper Screening in Systematic Literature Reviews
Evgeny Krivosheev, Fabio Casati, Valentina Caforio +1
Literature reviews allow scientists to stand on the shoulders of giants, showing promising directions, summarizing progress, and pointing out existing challenges in research. At th…
Data Curation APIs
Seyed-Mehdi-Reza Beheshti, Alireza Tabebordbar, Boualem Benatallah +1
Understanding and analyzing big data is firmly recognized as a powerful and strategic priority. For deeper interpretation of and better intelligence with big data, it is important…