@inproceedings{6e702f135a664a4b8f4ce52bbe13deaa,
title = "Expert2Vec: Distributed Expert Representation Learning in Question Answering Community",
abstract = "Community question answering (CQA) has attracted increasing attention recently due to its potential as a de facto knowledge base. Expert finding in CQA websites also has considerably board applications. Stack Overflow is one of the most popular question answering platforms, which is often utilized by recent studies on the recommendation of the domain expert. Despite the substantial progress seen recently, it still lacks relevant research on the direct representation of expert users. Hence hereby we propose Expert2Vec, a distributed Expert Representation learning in question answering community to boost the recommendation of the domain expert. Word2Vec is used to preprocess the Stack Overflow dataset, which helps to generate representations of domain topics. Weight rankings are then extracted based on domains and variational autoencoder (VAE) is unitized to generate representations of user-topic information. This finally adopts the reinforcement learning framework with the user-topic matrix to improve it internally. Experiments show the adequate performance of our proposed approaches in the recommendation system.",
keywords = "Embedding, Expertise finding, Question answering, Recommendation system, Reinforcement learning, Stack Overflow",
author = "Xiaocong Chen and Chaoran Huang and Xiang Zhang and Xianzhi Wang and Wei Liu and Lina Yao",
note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Switzerland AG.",
year = "2019",
month = nov,
doi = "10.1007/978-3-030-35231-8_21",
language = "English",
isbn = "9783030352301",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer",
pages = "288--301",
editor = "Jianxin Li and Sen Wang and Shaowen Qin and Xue Li and Shuliang Wang",
booktitle = "Advanced Data Mining and Applications - 15th International Conference, ADMA 2019, Proceedings",
}