{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:02Z","timestamp":1750220282691,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":40,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,2,11]],"date-time":"2022-02-11T00:00:00Z","timestamp":1644537600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"China Scholarship Council (CSC)","award":["201706080010"],"award-info":[{"award-number":["201706080010"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,2,11]]},"DOI":"10.1145\/3488560.3498507","type":"proceedings-article","created":{"date-parts":[[2022,2,15]],"date-time":"2022-02-15T21:42:57Z","timestamp":1644961377000},"page":"1386-1394","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["A GNN-based Multi-task Learning Framework for Personalized Video Search"],"prefix":"10.1145","author":[{"given":"Li","family":"Zhang","sequence":"first","affiliation":[{"name":"University of Sheffield, Sheffield, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lei","family":"Shi","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiashu","family":"Zhao","sequence":"additional","affiliation":[{"name":"Wilfrid Laurier University, Waterloo, Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan","family":"Yang","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tianshu","family":"Lyu","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dawei","family":"Yin","sequence":"additional","affiliation":[{"name":"Baidu Inc., Beijing, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haiping","family":"Lu","sequence":"additional","affiliation":[{"name":"University of Sheffield, Sheffield, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,2,15]]},"reference":[{"key":"e_1_3_2_2_1_1","unstructured":"Wasi Uddin Ahmad Kai-Wei Chang and Hongning Wang. 2018. Multi-task learning for document ranking and query suggestion. In ICLR."},{"key":"e_1_3_2_2_2_1","volume-title":"Topicrank: Graphbased topic ranking for keyphrase extraction. In IJCNLP.","author":"Bougouin Adrien","year":"2013","unstructured":"Adrien Bougouin, Florian Boudin, and B\u00e9atrice Daille. 2013. Topicrank: Graphbased topic ranking for keyphrase extraction. In IJCNLP."},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"crossref","unstructured":"Mark J. Carman Fabio Crestani Morgan Harvey and Mark Baillie. 2010. Towards Query Log Based Personalization Using Topic Models. In CIKM.","DOI":"10.1145\/1871437.1871745"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"crossref","unstructured":"Joao Carreira and Andrew Zisserman. 2017. Quo vadis action recognition? a new model and the kinetics dataset. In CVPR.","DOI":"10.1109\/CVPR.2017.502"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"crossref","unstructured":"Nick Craswell and Martin Szummer. 2007. Random walks on the click graph. In SIGIR.","DOI":"10.1145\/1277741.1277784"},{"key":"e_1_3_2_2_6_1","volume-title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL.","author":"Devlin J.","year":"2019","unstructured":"J. Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. In NAACL."},{"key":"e_1_3_2_2_7_1","unstructured":"Zhicheng Dou Ruihua Song and Ji-Rong Wen. 2007. A Large-Scale Evaluation and Analysis of Personalized Search Strategies. In WWW."},{"key":"e_1_3_2_2_8_1","unstructured":"Songwei Ge Zhicheng Dou Zhengbao Jiang Jian-Yun Nie and Ji-Rong Wen. 2018. Personalizing Search Results Using Hierarchical RNN with Query-aware Attention. In CIKM."},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2021.107964"},{"key":"e_1_3_2_2_10_1","first-page":"52","article-title":"Representation Learning on Graphs","volume":"40","author":"Hamilton William L.","year":"2017","unstructured":"William L. Hamilton, Rex Ying, and Jure Leskovec. 2017. Representation Learning on Graphs: Methods and Applications. IEEE Data Eng. Bull. 40 (2017), 52--74.","journal-title":"Methods and Applications. IEEE Data Eng. Bull."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"crossref","unstructured":"Morgan Harvey Fabio Crestani and Mark J Carman. 2013. Building user profiles from topic models for personalised search. In CIKM.","DOI":"10.1145\/2505515.2505642"},{"key":"e_1_3_2_2_12_1","unstructured":"Xiangnan He Lizi Liao Hanwang Zhang Liqiang Nie Xia Hu and Tat-Seng Chua. 2017. Neural collaborative filtering. In WWW."},{"key":"e_1_3_2_2_13_1","unstructured":"Winston H Hsu Lyndon S Kennedy and Shih-Fu Chang. 2007. Video search reranking through random walk over document-level context graph. In MM."},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"crossref","unstructured":"Jizhou Huang HaifengWang Miao Fan An Zhuo and Ying Li. 2020. Personalized prefix embedding for POI auto-completion in the search engine of Baidu Maps. In SIGKDD.","DOI":"10.1145\/3394486.3403318"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Jui-Ting Huang Ashish Sharma Shuying Sun Li Xia David Zhang Philip Pronin Janani Padmanabhan Giuseppe Ottaviano and Linjun Yang. 2020. Embeddingbased retrieval in facebook search. In SIGKDD.","DOI":"10.1145\/3394486.3403305"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"crossref","unstructured":"Po-Sen Huang Xiaodong He Jianfeng Gao Li Deng Alex Acero and Larry Heck. 2013. Learning deep structured semantic models for web search using clickthrough data. In CIKM.","DOI":"10.1145\/2505515.2505665"},{"key":"e_1_3_2_2_17_1","volume-title":"Adam: A method for stochastic optimization. In ICLR.","author":"Kingma Diederik P","year":"2015","unstructured":"Diederik P Kingma and Jimmy Ba. 2015. Adam: A method for stochastic optimization. In ICLR."},{"key":"e_1_3_2_2_18_1","unstructured":"Thomas N Kipf and MaxWelling. 2017. Semi-supervised classification with graph convolutional networks. In ICLR."},{"key":"e_1_3_2_2_19_1","unstructured":"Johannes Klicpera Stefan Wei\u00dfenberger and Stephan G\u00fcnnemann. 2019. Diffusion Improves Graph Learning. In NeurIPS."},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3331184.3331218"},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"crossref","unstructured":"Hao Ma Haixuan Yang Irwin King and Michael R Lyu. 2008. Learning latent semantic relations from clickthrough data for query suggestion. In CIKM.","DOI":"10.1145\/1458082.1458177"},{"key":"e_1_3_2_2_22_1","volume-title":"Facenet: A unified embedding for face recognition and clustering. In CVPR.","author":"Schroff Florian","year":"2015","unstructured":"Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015. Facenet: A unified embedding for face recognition and clustering. In CVPR."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"crossref","unstructured":"Ahu Sieg Bamshad Mobasher and Robin Burke. 2007. Web search personalization with ontological user profiles. In CIKM.","DOI":"10.1145\/1321440.1321515"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"crossref","unstructured":"Jaime Teevan Eytan Adar Rosie Jones and Michael AS Potts. 2007. Information re-retrieval: Repeat queries in Yahoo's logs. In SIGIR.","DOI":"10.1145\/1277741.1277770"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"crossref","unstructured":"Jaime Teevan Daniel J Liebling and Gayathri Ravichandran Geetha. 2011. Understanding and predicting personal navigation. In ICDM.","DOI":"10.1145\/1935826.1935848"},{"key":"e_1_3_2_2_26_1","unstructured":"Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez Lukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In NeurIPS."},{"key":"e_1_3_2_2_27_1","unstructured":"Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio and Yoshua Bengio. 2018. Graph attention networks. In ICLR."},{"key":"e_1_3_2_2_28_1","volume-title":"Mark Johnson, Dawei Song, and Alistair Willis.","author":"Vu Thanh","year":"2017","unstructured":"Thanh Vu, Dat Quoc Nguyen, Mark Johnson, Dawei Song, and Alistair Willis. 2017. Search personalization with embeddings. In ECIR."},{"key":"e_1_3_2_2_29_1","unstructured":"Thanh Vu Alistair Willis Son N Tran and Dawei Song. 2015. Temporal latent topic user profiles for search personalisation. In ECIR."},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-011-0733-1"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"crossref","unstructured":"Ryen W White Wei Chu Ahmed Hassan Xiaodong He Yang Song and Hongning Wang. 2013. Enhancing personalized search by mining and modeling task behavior. In WWW.","DOI":"10.1145\/2488388.2488511"},{"key":"e_1_3_2_2_32_1","unstructured":"Keyulu Xu Weihua Hu Jure Leskovec and Stefanie Jegelka. 2019. How Powerful are Graph Neural Networks?. In ICLR."},{"key":"e_1_3_2_2_33_1","unstructured":"Keyulu Xu Chengtao Li Yonglong Tian Tomohiro Sonobe Ken-ichi Kawarabayashi and Stefanie Jegelka. 2018. Representation Learning on Graphs with Jumping Knowledge Networks. In ICML."},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"crossref","unstructured":"Jing Yao Zhicheng Dou and Ji-Rong Wen. 2020. Employing Personal Word Embeddings for Personalized Search. In SIGIR.","DOI":"10.1145\/3397271.3401153"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"crossref","unstructured":"Tan Yu Yi Yang Yi Li Xiaodong Chen Mingming Sun and Ping Li. 2020. Combo- Attention Network for Baidu Video Advertising. In SIGKDD.","DOI":"10.1145\/3394486.3403297"},{"key":"e_1_3_2_2_36_1","unstructured":"Li Zhang Yan Ge and Haiping Lu. 2020. Hop-Hop Relation-aware Graph Neural Networks. In ECML(GEM)."},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"crossref","unstructured":"Li Zhang and Haiping Lu. 2020. A Feature-Importance-Aware and Robust Aggregator for GCN. In CIKM.","DOI":"10.1145\/3340531.3411983"},{"key":"e_1_3_2_2_38_1","unstructured":"Li Zhang Heda Song and Haiping Lu. 2018. Graph node-feature convolution for representation learning. In CIKM (GRL)."},{"key":"e_1_3_2_2_39_1","volume-title":"Chi","author":"Zhao Zhe","year":"2019","unstructured":"Zhe Zhao, Lichan Hong, Li Wei, Jilin Chen, Aniruddh Nath, Shawn Andrews, Aditee Kumthekar, Maheswaran Sathiamoorthy, Xinyang Yi, and Ed Chi. 2019. Recommending what video to watch next: a multitask ranking system. In RecSys."},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"crossref","unstructured":"Yujia Zhou Zhicheng Dou and Ji-Rong Wen. 2020. Encoding History with Context-aware Representation Learning for Personalized Search. In SIGIR.","DOI":"10.1145\/3397271.3401175"}],"event":{"name":"WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining","sponsor":["SIGMOD ACM Special Interest Group on Management of Data","SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGKDD ACM Special Interest Group on Knowledge Discovery in Data","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event AZ USA","acronym":"WSDM '22"},"container-title":["Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488560.3498507","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3488560.3498507","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:31:19Z","timestamp":1750188679000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3488560.3498507"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,2,11]]},"references-count":40,"alternative-id":["10.1145\/3488560.3498507","10.1145\/3488560"],"URL":"https:\/\/doi.org\/10.1145\/3488560.3498507","relation":{},"subject":[],"published":{"date-parts":[[2022,2,11]]},"assertion":[{"value":"2022-02-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}