王志红, 曹树金. 视频检索相关性判断的影响因素:基于PLS路径分析的实证研究[J]. 情报学报, 2020, 39(9): 926-937.
Wang Zhihong, Cao Shujin. Factors Influencing Relevance Judgment in Video Retrieval: An Empirical Study Based on PLS Path Analysis. 情报学报, 2020, 39(9): 926-937.
1 中国互联网络信息中心. 第43次《中国互联网络发展状况统计报告》全文[R/OL]. (2019-02-28) [2019-05-19]. http://www.cac.gov.cn/2019-02/28/c_1124175677.htm. 2 中国互联网络信息中心. 2013年中国网民网络视频应用研究报告[R/OL]. (2014-06-01) [2019-05-19]. http://www.cac.gov.cn/files/pdf/wangluoshipin.pdf. 3 中国互联网络信息中心. 2016年中国网民搜索行为调查报告[R/OL]. (2017-07-01) [2019-05-19]. http://202.116.81.74/cache/8/03/www.cnnic.net.cn/32ddac133cc3d5fb5b79a684994105f6/P020 180109484661983457.pdf. 4 Darvish S, Chin A. Dealing with the video tidal wave: The relevance of expertise for video tagging[C]// Proceedings of the 21st ACM Conference on Hypertext and Hypermedia. New York: ACM Press, 2010: 289-290. 5 Halvey M, Vallet D, Hannah D, et al. Supporting exploratory video retrieval tasks with grouping and recommendation[J]. Information Processing & Management, 2014, 50(6): 876-898. 6 Albertson D. Influences of users' familiarity with visual search topics on interactive video digital libraries[J]. Journal of the American Society for Information Science and Technology, 2010, 61(12): 2490-2502. 7 Google Cloud. Video AI[EB/OL]. [2019-05-19]. https://cloud.google.com/video-intelligence/#header. 8 Saracevic T. Relevance: A review of and a framework for the thinking on the notion in information science[J]. Journal of the American Society for Information Science, 1975, 26(6): 321-343. 9 Saracevic T. Relevance: A review of the literature and a framework for thinking on the notion in information science. Part III: Behavior and effects of relevance[J]. Journal of the American Society for information Science and Technology, 2007, 58(13): 2126-2144. 10 Xu Y C, Chen Z W. Relevance judgment: What do information users consider beyond topicality?[J]. Journal of the American Society for Information Science and Technology, 2006, 57(7): 961-973. 11 Zhang Y L, Zhang J, Lease M, et al. Multidimensional relevance modeling via psychometrics and crowdsourcing[C]// Proceedings of the 37th International ACM SIGIR Conference on Research & Development in Information Retrieval. New York: ACM Press, 2014: 435-444. 12 Wang P L, Soergel D. A cognitive model of document use during a research project. Study I. Document selection[J]. Journal of the American Society for Information Science, 1998, 49(2): 115-133. 13 Cool C, Belkin N J, Frieder O, et al. Characteristics of text affecting relevance judgments[C]// Proceedings of the 14th National Online Meeting. New York: Learned Information, 1993, 14: 77-84. 14 Park T K. The nature of relevance in information retrieval: An empirical study[J]. The Library Quarterly, 1993, 63(3): 318-351. 15 Schamber L. Relevance and information behavior[J]. Annual Review of Information Science and Technology, 1994, 29: 3-48. 16 Barry C L. User‐defined relevance criteria: An exploratory study[J]. Journal of the American Society for Information Science, 1994, 45(3): 149-159. 17 Maglaughlin K L, Sonnenwald D H. User perspectives on relevance criteria: A comparison among relevant, partially relevant, and not‐relevant judgments[J]. Journal of the American Society for Information Science and Technology, 2002, 53(5): 327-342. 18 Hamid R A, Thom J A. Criteria that have an effect on users while making image relevance judgments[C]// Proceedings of the 15th Australasian Document Computing Symposium, Melbourne, Australia, 2010: 76-83. 19 Redi M, Merialdo B. A multimedia retrieval framework based on automatic graded relevance judgments[C]// Proceedings of the International Conference on Multimedia Modeling. Heidelberg: Springer, 2012: 300-311. 20 Choi Y, Rasmussen E M. Users' relevance criteria in image retrieval in American history[J]. Information Processing & Management, 2002, 38(5): 695-726. 21 Sedghi S, Sanderson M, Clough P. A study on the relevance criteria for medical images[J]. Pattern Recognition Letters, 2008, 29(15): 2046-2057. 22 Laplante A. Users' relevance criteria in music retrieval in everyday life: An exploratory study[C]// Proceedings of the 11th International Society for Music Information Retrieval Conference, Utrecht, Netherlands, 2010: 601-606. 23 Inskip C, MacFarlane A, Rafferty P. Creative professional users' musical relevance criteria[J]. Journal of Information Science, 2010, 36(4): 517-529. 24 Savolainen R, Kari J. User-defined relevance criteria in web searching[J]. Journal of Documentation, 2006, 62(6): 685-707. 25 Crystal A, Greenberg J. Relevance criteria identified by health information users during Web searches[J]. Journal of the American Society for Information Science and Technology, 2006, 57(10): 1368-1382. 26 Chen Y C, Shang R A, Li M J. The effects of perceived relevance of travel blogs' content on the behavioral intention to visit a tourist destination[J]. Computers in Human Behavior, 2014, 30: 787-799. 27 Wang X L, Hong Z J, Xu Y, et al. Relevance judgments of mobile commercial information[J]. Journal of the Association for Information Science and Technology, 2014, 65(7): 1335-1348. 28 Rosenthal S. Motivations to seek science videos on YouTube: Free-choice learning in a connected society[J]. International Journal of Science Education, Part B, 2018, 8(1): 22-39. 29 孙建军, 裴雷, 刘虹. 基于期望确认模型的视频网站持续使用模型构建[J]. 图书情报知识, 2013(5): 82-88, 45. 30 侯德林. 网络视频服务用户行为意愿实证研究[D]. 武汉: 华中科技大学, 2012. 31 梁霞. 基于UTAUT模型的用户接受网络付费视频的影响因素研究[D]. 哈尔滨: 哈尔滨工业大学, 2017. 32 王永昂. 大学生对哔哩哔哩网的使用行为及认同建构研究[D]. 广州: 广州大学, 2017. 33 Jung I, Lee Y. YouTube acceptance by university educators and students: A cross-cultural perspective[J]. Innovations in Education and Teaching International, 2015, 52(3): 243-253. 34 卢俊. 大学生微博短视频使用状况研究[D]. 呼和浩特: 内蒙古大学, 2017. 35 谭金波. 网络视频检索的用户信息行为研究[J]. 图书情报工作, 2013, 57(8): 125-129. 36 Halvey M J, Keane M T. Analysis of online video search and sharing[C]// Proceedings of the 18th Conference on Hypertext and Hypermedia. New York: ACM Press, 2007: 217-226. 37 Kim H H. Toward video semantic search based on a structured folksonomy[J]. Journal of the American Society for Information Science and Technology, 2011, 62(3): 478-492. 38 Albertson D. Analyzing user interaction with the ViewFinder video retrieval system[J]. Journal of the American Society for Information Science and Technology, 2010, 61(2): 238-252. 39 Albertson D, Meadows III C. Situated topic complexity in interactive video retrieval[J]. Journal of the American Society for Information Science and Technology, 2011, 62(9): 1676-1695. 40 Yang M. An exploration of users' video relevance criteria[D]. Chapel Hill: The University of North Carolina at Chapel Hill, 2005. 41 Albassam S A A, Ruthven I. Users' relevance criteria for video in leisure contexts[J]. Journal of Documentation, 2018, 74(1): 62-79. 42 Schamber L, Eisenberg M B, Nilan M S. A re-examination of relevance: Toward a dynamic, situational definition[J]. Information Processing & Management, 1990, 26(6): 755-776. 43 Kek?l?inen J, J?rvelin K. Evaluating information retrieval systems under the challenges of interaction and multidimensional dynamic relevance[C]// Proceedings of the 4th CoLIS conference, Seattle, USA, 2002: 253-270. 44 Borlund P. The concept of relevance in IR[J]. Journal of the American Society for information Science and Technology, 2003, 54(10): 913-925. 45 Hj?rland B. The foundation of the concept of relevance[J]. Journal of the American Society for Information Science and Technology, 2010, 61(2): 217-237. 46 Saracevic T. Relevance reconsidered[C]// Proceedings of the Second Conference on Conceptions of Library and Information Science. New York: ACM Press, 1996: 201-218. 47 Greisdorf H. Relevance thresholds: A multi-stage predictive model of how users evaluate information[J]. Information Processing & Management, 2003, 39(3): 403-423. 48 Cunningham S J, Nichols D M. How people find videos[C]// Proceedings of the 8th ACM/IEEE-CS Joint Conference on Digital Libraries. New York: ACM Press, 2008: 201-210. 49 林怡君. 网络影音分享网站之使用者检索行为研究[D]. 台湾: 台湾师范大学, 2010. 50 Xu Y J. Relevance judgment in epistemic and hedonic information searches[J]. Journal of the American Society for Information Science and Technology, 2007, 58(2): 179-189. 51 Taylor A. User relevance criteria choices and the information search process[J]. Information Processing & Management, 2012, 48(1): 136-153. 52 童迎, 李鹏, 夏慧. 合作信息查寻与检索相关性判据的探索性因子分析[J]. 图书情报工作, 2013, 57(19): 30-36. 53 成颖. 信息检索相关性判据及应用研究[D]. 南京: 南京大学, 2011. 54 Bales S, Wang P L. Consolidating user relevance criteria: A meta‐ethnography of empirical studies[J]. Proceedings of the American Society for Information Science and Technology, 2005, 42(1): 1-7. 55 Chin W W, Marcolin B L, Newsted P R. A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study[J]. Information Systems Research, 2003, 14(2): 189-217. 56 Kahai S S, Cooper R B. Exploring the core concepts of media richness theory: The impact of cue multiplicity and feedback immediacy on decision quality[J]. Journal of Management Information Systems, 2003, 20(1): 263-299. 57 Wong K K K. Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS[J]. Marketing Bulletin, 2013, 24(1): 1-32. 58 Hair Jr J F, Hult G T M, Ringle C, et al. A primer on partial least squares structural equation modeling (PLS-SEM)[M]. SAGE Publications, 2016: 24. 59 Eberl M. An application of PLS in multi-group analysis: The need for differentiated corporate-level marketing in the mobile communications industry[M]// Handbook of Partial Least Squares. Heidelberg: Springer, 2009: 487-514. 60 Matthews L. Applying multigroup analysis in PLS-SEM: A step-by-step process[M]// Partial Least Squares Path Modeling. Cham: Springer, 2017: 219-243. 61 Henseler J, Fassott G. Testing moderating effects in PLS path models: An illustration of available procedures[M]// Handbook of Partial Least Squares. Heidelberg: Springer, 2010: 713-735. 62 Sarstedt M, Henseler J, Ringle C M. Multigroup analysis in partial least squares (PLS) path modeling: Alternative methods and empirical results[M]// Measurement and Research Methods in International Marketing. Emerald Group Publishing Limited, 2011: 195-218. 63 Hair Jr J F, Sarstedt M, Hopkins L, et al. Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research[J]. European Business Review, 2014, 26(2): 106-121. 64 Henseler J, Ringle C M, Sinkovics R R. The use of partial least squares path modeling in international marketing[M]// New Challenges to International Marketing. Emerald Group Publishing Limited, 2009: 277-319. 65 Henseler J, Hubona G, Ray P A. Using PLS path modeling in new technology research: Updated guidelines[J]. Industrial Management & Data Systems, 2016, 116(1): 2-20. 66 Fornell C, Larcker D F. Structural equation models with unobservable variables and measurement error: Algebra and statistics[J]. Journal of Marketing Research, 1981, 18(3): 382-388. 67 SmartPLS. Model Fit[EB/OL]. [2019-05-19]. https://www.smartpls.com/documentation/algorithms-and-techniques/model-fit. 68 邱钰淇. 從服務主導導向觀點探討協同消費[D]. 台湾: 屏东大学, 2017. 69 Grice H P. Logic and conversation[M]// Syntax and Semantic, Vol 3: Speech Arts. 1975: 41-58. 70 Salim F A, Haider F, Conlan O, et al. An approach for exploring a video via multimodal feature extraction and user interactions[J]. Journal on Multimodal User Interfaces, 2018, 12(4): 285-296. 71 Nakamoto S. Bitcoin: A peer-to-peer electronic cash system[OL]. https://bitcoin.org/bitcoin.pdf. 72 Barry C L, Schamber L. Users' criteria for relevance evaluation: a cross-situational comparison[J]. Information Processing & Management, 1998, 34(2-3): 219-236. 73 曹树金, 王志红. 虚拟社区知识共享意愿与行为的影响因素及其调节变量: 元分析研究[J]. 图书情报工作, 2018, 62(8): 74-83. 74 Schamber L, Bateman J. User criteria in relevance evaluation: Toward development of a measurement scale[C]// Proceedings of the ASIS Annual Meeting, 1996, 33: 218-225. 75 Eisenberg M B. Measuring relevance judgments[J]. Information Processing & Management, 1988, 24(4): 373-389. 76 Zhu X L, Gauch S. Incorporating quality metrics in centralized/distributed information retrieval on the World Wide Web[C]// Proceedings of the 23rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: ACM Press, 2000: 288-295. 77 Cosijn E, Ingwersen P. Dimensions of relevance[J]. Information Processing & Management, 2000, 36(4): 533-550.