Expert as a service

software expert recommendation via knowledge domain embeddings in stack overflow

Chaoran Huang, Lina Yao, Xianzhi Wang, Boualem Benatallah, Quan Z. Sheng

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

12 Citations (Scopus)

Abstract

Question answering (Q&A) communities have gained momentum recently as an effective means of knowledge sharing over the crowds, where many users are experts in the real-world and can make quality contributions in certain domains or technologies. Although the massive user-generated Q&A data present a valuable source of human knowledge, a related challenging issue is how to find those expert users effectively. In this paper, we propose a framework for finding such experts in a collaborative network. Accredited with recent works on distributed word representations, we are able to summarize text chunks from the semantics perspective and infer knowledge domains by clustering pre-trained word vectors. In particular, we exploit a graph-based clustering method for knowledge domain extraction and discern the shared latent factors using matrix factorization techniques. The proposed clustering method features requiring no post-processing of clustering indicators and the matrix factorization method is combined with the semantic similarity of the historical answers to conduct expertise ranking of users given a query. We use Stack Overflow, a website with a large group of users and a large number of posts on topics related to computer programming, to evaluate the proposed approach and conduct extensively experiments to show the effectiveness of our approach.

Original languageEnglish
Title of host publication2017 IEEE 24th International Conference on Web Services (ICWS) : proceedings
EditorsIlkay Altintas, Shiping Chen
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages317-324
Number of pages8
ISBN (Electronic)9781538607527
DOIs
Publication statusPublished - 7 Sep 2017
Event24th IEEE International Conference on Web Services, ICWS 2017 - Honolulu, United States
Duration: 25 Jun 201730 Jun 2017

Conference

Conference24th IEEE International Conference on Web Services, ICWS 2017
CountryUnited States
CityHonolulu
Period25/06/1730/06/17

Keywords

  • Expert as a Service
  • Expertise finding
  • Knowledge discovery
  • Question answering
  • Stack Overflow

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