{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T10:48:59Z","timestamp":1761648539855,"version":"3.41.0"},"reference-count":31,"publisher":"Association for Computing Machinery (ACM)","issue":"2s","license":[{"start":{"date-parts":[[2018,4,25]],"date-time":"2018-04-25T00:00:00Z","timestamp":1524614400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["ACM Trans. Multimedia Comput. Commun. Appl."],"published-print":{"date-parts":[[2018,4,30]]},"abstract":"<jats:p>Community Question Answering (CQA) websites have become valuable knowledge repositories. Millions of internet users resort to CQA websites to seek answers to their encountered questions. CQA websites provide information far beyond a search on a site such as Google due to (1) the plethora of high-quality answers, and (2) the capabilities to post new questions toward the communities of domain experts. While most research efforts have been made to identify experts or to preliminarily detect potential experts of CQA websites, there has been a remarkable shift toward investigating how to keep the engagement of experts. Experts are usually the major contributors of high-quality answers and questions of CQA websites. Consequently, keeping the expert communities active is vital to improving the lifespan of these websites. In this article, we present an algorithm termed PALP to predict the activity level of expert users of CQA websites. To the best of our knowledge, PALP is the first approach to address a personalized activity level prediction model for CQA websites. Furthermore, it takes into consideration user behavior change over time and focuses specifically on expert users. Extensive experiments on the Stack Overflow website demonstrate the competitiveness of PALP over existing methods.<\/jats:p>","DOI":"10.1145\/3187011","type":"journal-article","created":{"date-parts":[[2018,4,25]],"date-time":"2018-04-25T12:22:17Z","timestamp":1524658937000},"page":"1-15","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["Toward Personalized Activity Level Prediction in Community Question Answering Websites"],"prefix":"10.1145","volume":"14","author":[{"given":"Zhenguang","family":"Liu","sequence":"first","affiliation":[{"name":"Zhejiang University, and National University of Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingjie","family":"Xia","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Liu","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinming","family":"He","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chao","family":"Zhang","sequence":"additional","affiliation":[{"name":"University of Illinois Urbana-Champaign, Illinois"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7410-2590","authenticated-orcid":false,"given":"Roger","family":"Zimmermann","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2018,4,25]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2339530.2339665"},{"volume-title":"Proceedings of the 10th Working Conference on Mining Software Repositories. 97--100","author":"Asaduzzaman Muhammad","key":"e_1_2_1_2_1","unstructured":"Muhammad Asaduzzaman , Ahmed Shah Mashiyat , Chanchal K. Roy , and Kevin A. Schneider . 2013. Answering questions about unanswered questions of stack overflow . In Proceedings of the 10th Working Conference on Mining Software Repositories. 97--100 . Muhammad Asaduzzaman, Ahmed Shah Mashiyat, Chanchal K. Roy, and Kevin A. Schneider. 2013. Answering questions about unanswered questions of stack overflow. In Proceedings of the 10th Working Conference on Mining Software Repositories. 97--100."},{"key":"e_1_2_1_3_1","volume-title":"Bayen","author":"Belletti Francois","year":"2017","unstructured":"Francois Belletti , Daniel Haziza , Gabriel Gomes , and Alexandre M . Bayen . 2017 . Expert level control of ramp metering based on multi-task deep reinforcement learning. CoRR abs\/1701.08832. Francois Belletti, Daniel Haziza, Gabriel Gomes, and Alexandre M. Bayen. 2017. Expert level control of ramp metering based on multi-task deep reinforcement learning. 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Evolution of experts in question answering communities . In Proceedings of the 6th International Conference on Weblogs and Social Media. 274--281 . Aditya Pal, Shuo Chang, and Joseph A. Konstan. 2012. Evolution of experts in question answering communities. In Proceedings of the 6th International Conference on Weblogs and Social Media. 274--281."},{"volume-title":"Proceedings of the 19th Conference on User Modeling, Adaption and Personalization. 231--242","author":"Pal Aditya","key":"e_1_2_1_19_1","unstructured":"Aditya Pal , Rosta Farzan , Joseph A. Konstan , and Robert E. Kraut . 2011. Early detection of potential experts in question answering communities . In Proceedings of the 19th Conference on User Modeling, Adaption and Personalization. 231--242 . Aditya Pal, Rosta Farzan, Joseph A. Konstan, and Robert E. Kraut. 2011. Early detection of potential experts in question answering communities. In Proceedings of the 19th Conference on User Modeling, Adaption and Personalization. 231--242."},{"key":"e_1_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/2818711"},{"key":"e_1_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1145\/2567948.2576965"},{"key":"e_1_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1145\/2187980.2188202"},{"key":"e_1_2_1_23_1","volume-title":"Proceedings of SIGIR\u201910","author":"Shah Chirag","year":"2010","unstructured":"Chirag Shah and Jefferey Pomerantz . 2010 . Discovering value from community activity on focused question answering sites: A case study of stack overflow . In Proceedings of SIGIR\u201910 . 411--418. Chirag Shah and Jefferey Pomerantz. 2010. Discovering value from community activity on focused question answering sites: A case study of stack overflow. 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