{"type":"ScholarlyArticle","title":"Where Have You Been? Inferring Career Trajectory from Academic Social Network","authors":[{"name":"Kan Wu","slug":"kan-wu","given":"Kan","family":"Wu","affiliation":"Department of Computer Science and Technology , Tsinghua University"},{"name":"Jie Tang","slug":"jie-tang","given":"Jie","family":"Tang","affiliation":"Department of Computer Science and Technology , Tsinghua University"},{"name":"Chenhui Zhang","slug":"chenhui-zhang","given":"Chenhui","family":"Zhang","affiliation":"Department of Computer Science and Technology , Tsinghua University"}],"abstract":"A person’s career trajectory is composed of her/his past work or educational affiliations (institutions) at different points of times. Knowing people’s, especially scholars’, career trajectories can help the government make more scientific strategies to allocate resources and attract talent and help companies make smart recruiting plans. It could also support individuals find appropriate co-researchers or job opportunities. The paper focuses on inferring career trajectories in the academic social network. For about 1/3 of authors not having any affiliations in the dataset, we need to infer the missings at various years. Traditional affiliation/location inferring methods focus on inferring a stationary location (one and only) for a person. Nevertheless, people won’t stay at a place all their lives. We propose a Space-Time Factor Graph Model (STFGM) incorporating spatial and temporal correlations to fulfill the challenging and new task of inferring temporal locations. Experiments show our approach significantly outperforms baselines. At last, as case study, we develop several applications based on our approach which demonstrate the effectiveness further.","doi":"10.24963/ijcai.2018/499","url":"https://ijcai.org/proceedings/2018/499","pdf":"https://ijcai.org/proceedings/2018/0499.pdf","markdown":"https://ijcai.org/proceedings/2018/499.md","bibtex":"https://ijcai.org/proceedings/2018/bibtex/499","volume":{"slug":"2018","title":"Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2018","url":"https://ijcai.org/proceedings/2018/","year":2018,"location":"Stockholm","dates":"13-19 July 2018","editors":"Jérôme Lang","isbn":"978-0-9992411-2-7","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2018"},"section":"Machine Learning Applications","track":"Main track","number":499,"pages":{"first":3592,"last":3598},"keywords":["Machine Learning: Data Mining","Machine Learning: Learning Graphical Models"],"videos":[],"references":[{"position":1,"raw":"[Abel et al., 2011] Fabian Abel, Qi Gao, Geert-Jan Houben, and Ke Tao. Semantic enrichment of twitter posts for user profile construction on the social web. In Extended Seman- tic Web Conference, pages 375-389. Springer, 2011.","title":"Semantic enrichment of twitter posts for user profile construction on the social web","authors":"Fabian Abel, Qi Gao, Geert-Jan Houben, Ke Tao","year":"2011","venue":"Extended Semantic Web Conference","doi":null,"url":null,"internal_url":null},{"position":2,"raw":"[Amitay et al., 2004] Einat Amitay, Nadav Har'El, Ron Sivan, and Aya Soffer. Web-a-where: geotagging web con- tent. In Proceedings of the 27th annual international ACM SIGIR conference on Research and development in infor- mation retrieval, pages 273-280. ACM, 2004.","title":"Web-a-where: geotagging web content","authors":"Einat Amitay, Nadav Har'el, Ron Sivan, Aya Soffer","year":"2004","venue":"Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval","doi":null,"url":null,"internal_url":null},{"position":3,"raw":"[Backstrom et al., 2010] Lars Backstrom, Eric Sun, and Cameron Marlow. Find me if you can: improving geo- graphical prediction with social and spatial proximity. In WWW'10, pages 61-70. ACM, 2010.","title":"Find me if you can: improving geographical prediction with social and spatial proximity","authors":"Backstrom","year":"2010","venue":"WWW'10","doi":null,"url":null,"internal_url":null},{"position":4,"raw":"[Ceglowski et al., 2003] Maciej Ceglowski, Aaron Coburn, and John Cuadrado. Semantic search of unstructured data using contextual network graphs. National Institute for Technology and Liberal Education, 10, 2003.","title":"Semantic search of unstructured data using contextual network graphs","authors":"Maciej Ceglowski, Aaron Coburn, John Cuadrado","year":"2003","venue":null,"doi":null,"url":null,"internal_url":null},{"position":5,"raw":"[Chen et al., 2013] Yan Chen, Jichang Zhao, Xia Hu, Xi- aoming Zhang, Zhoujun Li, and Tat-Seng Chua. From interest to function: Location estimation in social media. In AAAI'13, 2013.","title":"From interest to function: Location estimation in social media","authors":"Yan Chen, Jichang Zhao, Xia Hu, Xiaoming Zhang, Zhoujun Li, Tat-Seng Chua","year":"2013","venue":"AAAI'13","doi":null,"url":null,"internal_url":null},{"position":6,"raw":"[Cheng et al., 2010] Zhiyuan Cheng, James Caverlee, and Kyumin Lee. You are where you tweet: a content-based approach to geo-locating twitter users. In Proceedings of the 19th ACM international conference on Information and knowledge management, pages 759-768. ACM, 2010.","title":"You are where you tweet: a content-based approach to geo-locating twitter users","authors":"Zhiyuan Cheng, James Caverlee, Kyumin Lee","year":"2010","venue":"Proceedings of the 19th ACM international conference on Information and knowledge management","doi":null,"url":null,"internal_url":null},{"position":7,"raw":"[Davis Jr et al., 2011] Clodoveu A Davis Jr, Gisele L Pappa, Diogo Rennó Rocha de Oliveira, and Filipe de L Arcanjo. Inferring the location of twitter messages based on user relationships. Transactions in GIS, 15(6):735-751, 2011.","title":"Inferring the location of twitter messages based on user relationships","authors":"Davis","year":"2011","venue":"Transactions in GIS","doi":null,"url":null,"internal_url":null},{"position":8,"raw":"[Eisenstein et al., 2010] Jacob Eisenstein, Brendan O'Connor, Noah A Smith, and Eric P Xing. A la- tent variable model for geographic lexical variation. In EMNLP'10, pages 1277-1287. Association for Computa- tional Linguistics, 2010.","title":"A latent variable model for geographic lexical variation","authors":"Jacob Eisenstein, O' Brendan, Noah A Connor, Eric P Smith, Xing","year":"2010","venue":"EMNLP'10","doi":null,"url":null,"internal_url":null},{"position":9,"raw":"[Iguchi, 2007] Makoto Iguchi. User-profile based web page recommendation system and user-profile based web page recommendation method, June 29 2007. US Patent App. 11/772,071.","title":"User-profile based web page recommendation system and user-profile based web page recommendation method","authors":"Makoto Iguchi","year":"2007","venue":"US Patent","doi":null,"url":null,"internal_url":null},{"position":10,"raw":"[Ikawa et al., 2012] Yohei Ikawa, Miki Enoki, and Michiaki Tatsubori. Location inference using microblog messages. In WWW'12, pages 687-690. ACM, 2012.","title":"Location inference using microblog messages","authors":"Ikawa","year":"2012","venue":"WWW'12","doi":null,"url":null,"internal_url":null},{"position":11,"raw":"[Jurgens, 2013] David Jurgens. That's what friends are for: Inferring location in online social media platforms based on social relationships. ICWSM'13, 13:273-282, 2013.","title":"That's what friends are for: Inferring location in online social media platforms based on social relationships","authors":"David Jurgens","year":"2013","venue":"ICWSM'","doi":null,"url":null,"internal_url":null},{"position":12,"raw":"[Li et al., 2012] Rui Li, Shengjie Wang, Hongbo Deng, Rui Wang, and Kevin Chen-Chuan Chang. Towards social user profiling: unified and discriminative influence model for inferring home locations. In Proceedings of the 18th ACM SIGKDD international conference on Knowledge discov- ery and data mining, pages 1023-1031. ACM, 2012.","title":"Towards social user profiling: unified and discriminative influence model for inferring home locations","authors":"Rui Li, Shengjie Wang, Hongbo Deng, Rui Wang, Kevin Chen, -Chuan Chang","year":"2012","venue":"Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining","doi":null,"url":null,"internal_url":null},{"position":13,"raw":"[McGee et al., 2013] Jeffrey McGee, James Caverlee, and Zhiyuan Cheng. Location prediction in social media based on tie strength. In CIKM'13, pages 459-468. ACM, 2013.","title":"Location prediction in social media based on tie strength","authors":"Jeffrey Mcgee, James Caverlee, Zhiyuan Cheng","year":"2013","venue":"CIKM'13","doi":null,"url":null,"internal_url":null},{"position":14,"raw":"[Murphy et al., 1999] Kevin P Murphy, Yair Weiss, and Michael I Jordan. Loopy belief propagation for approx- imate inference: An empirical study. In Proceedings of the Fifteenth conference on Uncertainty in artificial intelli- gence, pages 467-475.","title":"Loopy belief propagation for approximate inference: An empirical study","authors":"Kevin P Murphy, Yair Weiss, Michael I Jordan","year":null,"venue":"Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence","doi":null,"url":null,"internal_url":null},{"position":15,"raw":"[Park and Chang, 2009] You-Jin Park and Kun-Nyeong Chang. Individual and group behavior-based customer profile model for personalized product recommendation. Expert Systems with Applications, 36(2):1932-1939, 2009.","title":"You-Jin Park and Kun-Nyeong Chang. Individual and group behavior-based customer profile model for personalized product recommendation","authors":"Chang Park","year":"2009","venue":"Expert Systems with Applications","doi":null,"url":null,"internal_url":null},{"position":16,"raw":"[Ratcliff and Metzener, 1988] John W Ratcliff and David E Metzener. Pattern matching:the gestalt approach. Dr Dobbs Journal, 13(7):46, 1988.","title":"Pattern matching:the gestalt approach","authors":"John W Ratcliff, David E Metzener","year":"1988","venue":"Dr Dobbs Journal","doi":null,"url":null,"internal_url":null},{"position":17,"raw":"[Ryoo and Moon, 2014] KyoungMin Ryoo and Sue Moon. Inferring twitter user locations with 10 km accuracy. In WWW'14, pages 643-648. ACM, 2014.","title":"KyoungMin Ryoo and Sue Moon. Inferring twitter user locations with 10 km accuracy","authors":"Moon Ryoo","year":"2014","venue":"WWW'14","doi":null,"url":null,"internal_url":null},{"position":18,"raw":"[Scholz, 1985] FW Scholz. Maximum likelihood estimation. Encyclopedia of statistical sciences, 1985.","title":"Maximum likelihood estimation","authors":"; Fw Scholz, Scholz","year":"1985","venue":"Encyclopedia of statistical sciences","doi":null,"url":null,"internal_url":null},{"position":19,"raw":"[Sinha et al., 2015] Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-june Paul Hsu, and Kuansan Wang. An overview of microsoft academic service (mas) and applications. In Proceedings of the 24th international conference on world wide web, pages 243-246. ACM, 2015.","title":"An overview of microsoft academic service (mas) and applications","authors":"Arnab Sinha, Zhihong Shen, Yang Song, Hao Ma, Darrin Eide, Bo-June Paul Hsu, Kuansan Wang","year":"2015","venue":"Proceedings of the 24th international conference on world wide web","doi":null,"url":null,"internal_url":null},{"position":20,"raw":"[Sugiyama et al., 2004] Kazunari Sugiyama, Kenji Hatano, and Masatoshi Yoshikawa. Adaptive web search based on user profile constructed without any effort from users. In Proceedings of the 13th international conference on World Wide Web, pages 675-684. ACM, 2004.","title":"Adaptive web search based on user profile constructed without any effort from users","authors":"Kazunari Sugiyama, Kenji Hatano, Masatoshi Yoshikawa","year":"2004","venue":"Proceedings of the 13th international conference on World Wide Web","doi":null,"url":null,"internal_url":null},{"position":21,"raw":"[Tang et al., 2008] Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, and Zhong Su. Arnetminer: extraction and mining of academic social networks. In Proceedings of the 14th ACM SIGKDD international conference on Knowl- edge discovery and data mining, pages 990-998. ACM, 2008.","title":"Arnetminer: extraction and mining of academic social networks","authors":"Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, Zhong Su","year":"2008","venue":"Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining","doi":null,"url":null,"internal_url":null},{"position":22,"raw":"[Tang et al., 2010] Jie Tang, Limin Yao, Duo Zhang, and Jing Zhang. A combination approach to web user pro- filing. ACM Transactions on Knowledge Discovery from Data (TKDD), 5(1):2, 2010.","title":"A combination approach to web user profiling","authors":"Jie Tang, Limin Yao, Duo Zhang, Jing Zhang","year":"2010","venue":"ACM Transactions on Knowledge Discovery from Data (TKDD)","doi":null,"url":null,"internal_url":null},{"position":23,"raw":"[Wing and Baldridge, 2011] Benjamin P Wing and Jason Baldridge. Simple supervised document geolocation with geodesic grids. In ACL'11, pages 955-964. Association for Computational Linguistics, 2011.","title":"Simple supervised document geolocation with geodesic grids","authors":"P Benjamin, Jason Wing, Baldridge","year":"2011","venue":"ACL'11","doi":null,"url":null,"internal_url":null},{"position":24,"raw":"[Xue, 2010] Ding Xue. Research on the book intelligent rec- ommendation system based on data mining [j]. Informa- tion Studies: Theory & Application, 5:029, 2010.","title":"Research on the book intelligent recommendation system based on data mining","authors":"Ding Xue","year":"2010","venue":"Information Studies: Theory & Application","doi":null,"url":null,"internal_url":null},{"position":25,"raw":"[Yu et al., 2006] Zhiwen Yu, Xingshe Zhou, Yanbin Hao, and Jianhua Gu. Tv program recommendation for multiple viewers based on user profile merging. User modeling and user-adapted interaction, 16(1):63-82, 2006.","title":"Tv program recommendation for multiple viewers based on user profile merging","authors":"Zhiwen Yu, Xingshe Zhou, Yanbin Hao, Jianhua Gu","year":"2006","venue":"User modeling and user-adapted interaction","doi":null,"url":null,"internal_url":null}],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}