Table of contents
A novel word-graph-based query rewriting method for question answering
Rongen Yan, Depeng Dang, Hu Gao, Yan Wu, Wenhui YuQuestion answering (QA) answers the questions asked by people in the form of natural language. In the QA, due to the subjectivity of users, the questions they query have different…
News recommendations based on collaborative topic modeling and collaborative filtering with generative adversarial networks
Duen-Ren Liu, Yang Huang, Jhen-Jie Jhao, Shin-Jye LeeOnline news websites provide huge amounts of timely news, bringing the challenge of recommending personalized news articles. Generative adversarial networks (GAN) based on…
Identifying business information through deep learning: analyzing the tender documents of an Internet-based logistics bidding platform
Ying Yu, Jing MaThe tender documents, an essential data source for internet-based logistics tendering platforms, incorporate massive fine-grained data, ranging from information on tenderee…
Machine learning approaches for prediction of ovarian cancer driver genes from mutational and network analysis
Rucha Wadapurkar, Sanket Bapat, Rupali Mahajan, Renu VyasOvarian cancer (OC) is the most common type of gynecologic cancer in the world with a high rate of mortality. Due to manifestation of generic symptoms and absence of specific…
Channel attention-based spatial-temporal graph neural networks for traffic prediction
Bin Wang, Fanghong Gao, Le Tong, Qian Zhang, Sulei ZhuTraffic flow prediction has always been a top priority of intelligent transportation systems. There are many mature methods for short-term traffic flow prediction. However, the…
Risk assessment in machine learning enhanced failure mode and effects analysis
Zeping Wang, Hengte Du, Liangyan Tao, Saad Ahmed JavedThe traditional failure mode and effect analysis (FMEA) has some limitations, such as the neglect of relevant historical data, subjective use of rating numbering and the less…
A hybrid learning method for distinguishing lung adenocarcinoma and squamous cell carcinoma
Anil Kumar Swain, Aleena Swetapadma, Jitendra Kumar Rout, Bunil Kumar BalabantarayThe objective of the proposed work is to identify the most commonly occurring non–small cell carcinoma types, such as adenocarcinoma and squamous cell carcinoma, within the human…
Impact of information consistency in online reviews on consumer behavior in the e-commerce industry: a text mining approach
Qinglong Li, Jaeseung Park, Jaekyeong KimThe current study investigates the impact on perceived review helpfulness of the simultaneous processing of information from multiple cues with various central and peripheral cue…
ISSN:
2514-9288Renamed from:
Program: electronic library and information systemsOnline date, start – end:
2018Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Prof Miguel-Ángel Sicilia-Urban