Answer selection and expert finding in community question answering services

• Published in: Program : electronic library and information systems Vol. 51; no. 1; pp. 17 - 34
• Main Authors: Wang, Hei-Chia, Yang, Che-Tsung, Yen, Yi-Hao
• Format: Journal Article
• Language: English
• Published: Bradford Emerald Publishing Limited 01.01.2017; Emerald Group Publishing Limited
• Subjects: Accuracy; Algorithms; Answering services; Classification; Cluster analysis; Clustering; Communities; Community; Community Relations; Experiments; Experts; Information Needs; Information processing; Information Seeking; Information sources; Intelligence Quotient; Knowledge sharing; Language Processing; Natural Language Processing; Network Analysis; Problem solving; Quality; Reference services; Researchers; Search engines; Self Evaluation (Individuals); Social Environment; Social Media; Social networks; Social Structure; Studies; Trustworthiness; Usability; User generated content; Websites; Taiwan; Knowledge sharing; Question routing; Bottom-up multipath evaluation; Community question answering; Expert finding; Answer selection

Purpose Community question answering (CQA) websites provide an open and free way to share knowledge about general topics on the internet. However, inquirers may not obtain useful answers and those who are qualified to provide answers may also miss opportunities to share their expertise without any n...