3670 
2859计算广告被定义为一种应用广泛的、数据驱动的广告方式，它依赖于企业增强的计算能力、数学模型/算法和技术基础设施来监控、监视个人行为并创建和传递广告信息，以其自动化和精准化的特点成为互联网广告的主流形式。但是，计算广告当前模式中存在的数据悖论、决策短视等问题阻碍了广告效果的进一步提升。为了更好地促进计算广告的发展，本文首先对计算广告模式的产生和发展进行了解析以得出问题出现的原因，然后从心理层面探究了解决问题的可能途径，最后对计算广告的未来发展方向进行了展望。
心理协同视角下的计算广告：研究述评与展望
摘要
参考文献
2 Adomavicius G, Tuzhilin A. Context-aware recommender systems[A]. Ricci F, Rokach L, Shapira B, et al. Kantor recommender systems handbook[M]. Boston: Springer, 2011.
3 Aribarg A, Schwartz E M. Native advertising in online news: Trade-offs among clicks, brand recognition, and website trustworthiness[J]. Journal of Marketing Research,2020, 57(1): 20-34. DOI:10.1177/0022243719879711
4 Balseiro S R, Besbes O, Weintraub G Y. Repeated auctions with budgets in ad exchanges: Approximations and design[J]. Management Science,2015, 61(4): 864-884. DOI:10.1287/mnsc.2014.2022
5 Berger J, Milkman K L. What makes online content viral?[J]. Journal of Marketing Research,2012, 49(2): 192-205. DOI:10.1509/jmr.10.0353
6 Berman R. Beyond the last touch: Attribution in online advertising[J]. Marketing Science,2018, 37(5): 771-792. DOI:10.1287/mksc.2018.1104
7 Bien N, ten Oever S, Goebel R, et al. The sound of size: Crossmodal binding in pitch-size synesthesia: A combined TMS, EEG and psychophysics study[J]. NeuroImage,2012, 59(1): 663-672. DOI:10.1016/j.neuroimage.2011.06.095
8 Bond B J, Farrell J R. Does depicting gay couples in ads influence behavioral intentions? How appeal for ads with gay models can drive intentions to purchase and recommend[J]. Journal of Advertising Research,2020, 60(2): 208-221. DOI:10.2501/JAR-2019-026
9 Boratto L, Carta S, Fenu G. Investigating the role of the rating prediction task in granularity-based group recommender systems and big data scenarios[J]. Information Sciences,2017, 378: 424-443. DOI:10.1016/j.ins.2016.07.060
10 Chae B, Hoegg J. The future looks “right”: Effects of the horizontal location of advertising images on product attitude[J]. Journal of Consumer Research,2013, 40(2): 223-238. DOI:10.1086/669476
11 Chae B, Li X P, Zhu R. Judging product effectiveness from perceived spatial proximity[J]. Journal of Consumer Research,2013, 40(2): 317-335. DOI:10.1086/670393
12 Chang Y P, Li Y, Yan J, et al. Getting more likes: The impact of narrative person and brand image on customer-brand interactions[J]. Journal of the Academy of Marketing Science,2019, 47(6): 1027-1045. DOI:10.1007/s11747-019-00632-2
13 Chen G, Xie P H, Dong J, et al. Understanding programmatic creative: The role of AI[J]. Journal of Advertising,2019, 48(4): 347-355. DOI:10.1080/00913367.2019.1654421
14 Cheng J M S, Blankson C, Wang E S T, et al. Consumer attitudes and interactive digital advertising[J]. International Journal of Advertising,2009, 28(3): 501-525. DOI:10.2501/S0265048709200710
15 Cheng Y M, Mukhopadhyay A, Williams P. Smiling signals intrinsic motivation[J]. Journal of Consumer Research,2020, 46(5): 915-935. DOI:10.1093/jcr/ucz023
16 Choi H, Mela C F, Balseiro S R, et al. Online display advertising markets: A literature review and future directions[J]. Information Systems Research,2020, 31(2): 556-575. DOI:10.1287/isre.2019.0902
17 Choi J, Rangan P, Singh S N. Do cold images cause cold-heartedness? The impact of visual stimuli on the effectiveness of negative emotional charity appeals[J]. Journal of Advertising,2016, 45(4): 417-426. DOI:10.1080/00913367.2016.1185982
19 Cian L, Longoni C, Krishna A. Advertising a desired change: When process simulation fosters (vs. hinders) credibility and persuasion[J]. Journal of Marketing Research,2020, 57(3): 489-508. DOI:10.1177/0022243720904758
20 David R J, Han S K. A systematic assessment of the empirical support for transaction cost economics[J]. Strategic Management Journal,2004, 25(1): 39-58. DOI:10.1002/smj.359
23 Desai V S, Gupta A. Determining optimal advertising strategies: A markov decision model approach[J]. Decision Sciences,1996, 27(3): 569-588. DOI:10.1111/j.1540-5915.1996.tb01826.x
24 Dubé J P, Fang Z, Fong N, et al. Competitive price targeting with smartphone coupons[J]. Marketing Science,2017, 36(6): 944-975. DOI:10.1287/mksc.2017.1042
25 Duff B R L, Sar S. Is there a need for speed? Fast animation as context increases product trial intent and self-focus[J]. International Journal of Advertising,2015, 34(2): 262-284. DOI:10.1080/02650487.2014.993793
26 Elder R S, Schlosser A E, Poor M, et al. So close I can almost sense it: The interplay between sensory imagery and psychological distance[J]. Journal of Consumer Research,2017, 44(4): 877-894. DOI:10.1093/jcr/ucx070
27 Feng J, Bhargava H K, Pennock D M. Implementing sponsored search in web search engines: Computational evaluation of alternative mechanisms[J]. INFORMS Journal on Computing,2007, 19(1): 137-148. DOI:10.1287/ijoc.1050.0135
28 Germelmann C C, Herrmann J L, Kacha M, et al. Congruence and incongruence in thematic advertisement-medium combinations: Role of awareness, fluency, and persuasion knowledge[J]. Journal of Advertising,2020, 49(2): 141-164. DOI:10.1080/00913367.2020.1745110
29 Govind R, Garg N, Mittal V. Weather, affect, and preference for hedonic products: The moderating role of gender[J]. Journal of Marketing Research,2020, 57(4): 717-738. DOI:10.1177/0022243720925764
30 Grewal D, Bart Y, Spann M, et al. Mobile advertising: A framework and research agenda[J]. Journal of Interactive Marketing,2016, 34(1): 3-14. DOI:10.1016/S1094-9968_16_30020-2
31 Guido G, Pichierri M, Pino G, et al. Effects of face images and face pareidolia on consumers’ responses to print advertising: An empirical investigation[J]. Journal of Advertising Research,2019, 59(2): 219-231. DOI:10.2501/JAR-2018-030
32 Hagtvedt H, Brasel S A. Cross-modal communication: Sound frequency influences consumer responses to color lightness[J]. Journal of Marketing Research,2016, 53(4): 551-562. DOI:10.1509/jmr.14.0414
33 Ham C D, Nelson M R. The role of persuasion knowledge, assessment of benefit and harm, and third-person perception in coping with online behavioral advertising[J]. Computers in Human Behavior,2016, 62: 689-702. DOI:10.1016/j.chb.2016.03.076
36 Helberger N, Huh J, Milne G, et al. Macro and exogenous factors in computational advertising: Key issues and new research directions[J]. Journal of Advertising,2020, 49(4): 377-393. DOI:10.1080/00913367.2020.1811179
37 Henderson C M, Mazodier M, Sundar A. The color of support: The effect of sponsor-team visual congruence on sponsorship performance[J]. Journal of Marketing,2019, 83(3): 50-71. DOI:10.1177/0022242919831672
38 Huang S, Aral S, Hu Y J, et al. Social advertising effectiveness across products: A large-scale field experiment[J]. Marketing Science,2020, 39(6): 1142-1165. DOI:10.1287/mksc.2020.1240
39 Hughes C, Swaminathan V, Brooks G. Driving brand engagement through online social influencers: An empirical investigation of sponsored blogging campaigns[J]. Journal of Marketing,2019, 83(5): 78-96. DOI:10.1177/0022242919854374
40 Huh J, Malthouse E C. Advancing computational advertising: Conceptualization of the field and future directions[J]. Journal of Advertising,2020, 49(4): 367-376. DOI:10.1080/00913367.2020.1795759
41 Humphreys A, Isaac M S, Wang R J H. Construal matching in online search: Applying text analysis to illuminate the consumer decision journey[J]. Journal of Marketing Research,2021, 58(6): 1101-1119. DOI:10.1177/0022243720940693
42 Kanuri V K, Chen Y X, Sridhar S. Scheduling content on social media: Theory, evidence, and application[J]. Journal of Marketing,2018, 82(6): 89-108. DOI:10.1177/0022242918805411
43 Kawaguchi K, Uetake K, Watanabe Y. Effectiveness of product recommendations under time and crowd pressures[J]. Marketing Science,2019, 38(2): 253-273. DOI:10.1287/mksc.2018.1132
44 Kraemer D J M, Macrae C N, Green A E, et al. Sound of silence activates auditory cortex[J]. Nature,2005, 434(7030): 158-158. DOI:10.1038/434158a
46 Lembregts C, Pandelaere M. Falling back on numbers: When preference for numerical product information increases after a personal control threat[J]. Journal of Marketing Research,2019, 56(1): 104-122. DOI:10.1177/0022243718820570
47 Li H R. Special section introduction: Artificial intelligence and advertising[J]. Journal of Advertising,2019, 48(4): 333-337. DOI:10.1080/00913367.2019.1654947
48 Li T T, Qian R H, Dong C, et al. BeautyGAN: Instance-level facial makeup transfer with deep generative adversarial network[A]. Proceedings of the 26th ACM international conference on multimedia[C]. Seoul Republic of Korea: ACM, 2018.
49 Li Y Y, Xie Y. Is a picture worth a thousand words? An empirical study of image content and social media engagement[J]. Journal of Marketing Research,2020, 57(1): 1-19. DOI:10.1177/0022243719881113
50 Liang Y G. Solution to the continuous time dynamic yield management model[J]. Transportation Science,1999, 33(1): 117-123. DOI:10.1287/trsc.33.1.117
51 Litoiu M, Ionescu T C, Labarta J. Dynamic task scheduling in distributed real time systems using fuzzy rules[J]. Microprocessors and Microsystems,1998, 21(5): 299-311. DOI:10.1016/S0141-9331(97)00049-5
52 Lowe M L, Haws K L. Sounds big: The effects of acoustic pitch on product perceptions[J]. Journal of Marketing Research,2017, 54(2): 331-346. DOI:10.1509/jmr.14.0300
53 Lu S S, Xiao L, Ding M. A video-based automated recommender (VAR) system for garments[J]. Marketing Science,2016, 35(3): 484-510. DOI:10.1287/mksc.2016.0984
54 Luo X M, Andrews M, Fang Z, et al. Mobile targeting[J]. Management Science,2014, 60(7): 1738-1756. DOI:10.1287/mnsc.2013.1836
55 Ma L Y, Sun B H. Machine learning and AI in marketing—Connecting computing power to human insights[J]. International Journal of Research in Marketing,2020, 37(3): 481-504. DOI:10.1016/j.ijresmar.2020.04.005
56 Ngwe D, Ferreira K J, Teixeira T. The impact of increasing search frictions on online shopping behavior: Evidence from a field experiment[J]. Journal of Marketing Research,2019, 56(6): 944-959. DOI:10.1177/0022243719865516
57 Northey G, Dolan R, Etheridge J, et al. LGBTQ imagery in advertising: How viewers’ political ideology shapes their emotional response to gender and sexuality in advertisements[J]. Journal of Advertising Research,2020, 60(2): 222-236. DOI:10.2501/JAR-2020-009
58 Otterbring T, Ringler C, Sirianni N J, et al. The Abercrombie & Fitch effect: The impact of physical dominance on male customers’ status-signaling consumption[J]. Journal of Marketing Research,2018, 55(1): 69-79. DOI:10.1509/jmr.15.0247
59 Park S Y, Morton C R. The role of regulatory focus, social distance, and involvement in anti-high-risk drinking advertising: A construal-level theory perspective[J]. Journal of Advertising,2015, 44(4): 338-348. DOI:10.1080/00913367.2014.1001503
60 Pathak D, Krähenbühl P, Donahue J, et al. Context encoders: Feature learning by inpainting[A]. Proceedings of 2016 IEEE conference on computer vision and pattern recognition[C]. Las Vegas: IEEE, 2016.
61 Pieters R, Wedel M, Batra R. The stopping power of advertising: Measures and effects of visual complexity[J]. Journal of Marketing,2010, 74(5): 48-60. DOI:10.1509/jmkg.74.5.048
62 Qin X B, Jiang Z B. The impact of AI on the advertising process: The Chinese experience[J]. Journal of Advertising,2019, 48(4): 338-346. DOI:10.1080/00913367.2019.1652122
63 Raisch S, Krakowski S. Artificial intelligence and management: The automation-augmentation paradox[J]. Academy of Management Review,2021, 46(1): 192-210. DOI:10.5465/amr.2018.0072
64 Ren S Q, He K M, Girshick R, et al. Faster R-CNN: Towards real-time object detection with region proposal networks[A]. Proceedings of the 28th international conference on neural information processing systems[C]. Montreal: MIT Press, 2015.
65 Romero M, Craig A W, Kumar A. Mapping time: How the spatial representation of time influences intertemporal choices[J]. Journal of Marketing Research,2019, 56(4): 620-636. DOI:10.1177/0022243719827967
66 Roose G, Vermeir I, Geuens M, et al. A match made in heaven or down under? The effectiveness of matching visual and verbal horizons in advertising[J]. Journal of Consumer Psychology,2019, 29(3): 411-427. DOI:10.1002/jcpy.1088
67 Ruzeviciute R, Kamleitner B, Biswas D. Designed to s(m)ell: When scented advertising induces proximity and enhances appeal[J]. Journal of Marketing Research,2020, 57(2): 315-331. DOI:10.1177/0022243719888474
68 Sayedi A. Real-time bidding in online display advertising[J]. Marketing Science,2018, 37(4): 553-568. DOI:10.1287/mksc.2017.1083
69 Schlager T, de Bellis E, Hoegg J. How and when weather boosts consumer product valuation[J]. Journal of the Academy of Marketing Science,2020, 48(4): 695-711. DOI:10.1007/s11747-019-00717-y
71 Shoenberger H, Kim E, Johnson E K. #BeingReal about instagram ad models: The effects of perceived authenticity: How image modification of female body size alters advertising attitude and buying intention[J]. Journal of Advertising Research,2020, 60(2): 197-207. DOI:10.2501/JAR-2019-035
72 Shrestha Y R, Krishna V, von Krogh G. Augmenting organizational decision-making with deep learning algorithms: Principles, promises, and challenges[J]. Journal of Business Research,2021, 123: 588-603. DOI:10.1016/j.jbusres.2020.09.068
73 Sinha J, Bagchi R. Role of ambient temperature in influencing willingness to pay in auctions and negotiations[J]. Journal of Marketing,2019, 83(4): 121-138. DOI:10.1177/0022242919841595
74 Su L, Wan E W, Jiang Y W. Filling an empty self: The impact of social exclusion on consumer preference for visual density[J]. Journal of Consumer Research,2019, 46(4): 808-824. DOI:10.1093/jcr/ucz011
75 Tellis G J, MacInnis D J, Tirunillai S, et al. What drives virality(sharing) of online digital content? The critical role of information, emotion, and brand prominence[J]. Journal of Marketing,2019, 83(4): 1-20. DOI:10.1177/0022242919841034
76 Thompson D V, Malaviya P. Consumer-generated ads: Does awareness of advertising co-creation help or hurt persuasion?[J]. Journal of Marketing,2013, 77(3): 33-47. DOI:10.1509/jm.11.0403
77 Tripathi A K, Nair S K. Narrowcasting of wireless advertising in malls[J]. European Journal of Operational Research,2007, 182(3): 1023-1038. DOI:10.1016/j.ejor.2006.09.068
78 van Noort G, Himelboim I, Martin J, et al. Introducing a model of automated brand-generated content in an era of computational advertising[J]. Journal of Advertising,2020, 49(4): 411-427. DOI:10.1080/00913367.2020.1795954
79 Villegas N M, Sánchez C, Díaz-Cely J, et al. Characterizing context-aware recommender systems: A systematic literature review[J]. Knowledge-Based Systems,2018, 140: 173-200. DOI:10.1016/j.knosys.2017.11.003
80 Wang P Y, Xiong G Y, Yang J. Serial position effects on native advertising effectiveness: Differential results across publisher and advertiser metrics[J]. Journal of Marketing,2019, 83(2): 82-97. DOI:10.1177/0022242918817549
81 Wojdynski B W, Evans N J. Going native: Effects of disclosure position and language on the recognition and evaluation of online native advertising[J]. Journal of Advertising,2016, 45(2): 157-168. DOI:10.1080/00913367.2015.1115380
82 Wu H K, Zheng S, Zhang J G, et al. GP-GAN: Towards realistic high-resolution image blending[A]. Proceedings of the 27th ACM international conference on multimedia[C]. Nice: ACM, 2019.
83 Xiao L, Ding M. Just the faces: Exploring the effects of facial features in print advertising[J]. Marketing Science,2014, 33(3): 338-352. DOI:10.1287/mksc.2013.0837
84 Xu D J, Liao S S, Li Q D. Combining empirical experimentation and modeling techniques: A design research approach for personalized mobile advertising applications[J]. Decision Support Systems,2008, 44(3): 710-724. DOI:10.1016/j.dss.2007.10.002
85 Xu L Z, Duan J A, Whinston A. Path to purchase: A mutually exciting point process model for online advertising and conversion[J]. Management Science,2014, 60(6): 1392-1412. DOI:10.1287/mnsc.2014.1952
86 Yaveroglu I, Donthu N. Advertising repetition and placement issues in on-line environments[J]. Journal of Advertising,2008, 37(2): 31-44. DOI:10.2753/JOA0091-3367370203
87 Yoldar M T, Özcan U. Collaborative targeting: Biclustering-based online ad recommendation[J]. Electronic Commerce Research and Applications,2019, 35: 100857. DOI:10.1016/j.elerap.2019.100857
88 Yun J T, Segijn C M, Pearson S, et al. Challenges and future directions of computational advertising measurement systems[J]. Journal of Advertising,2020, 49(4): 446-458. DOI:10.1080/00913367.2020.1795757
89 Zhang S, Jank W, Shmueli G. Real-time forecasting of online auctions via functional K-nearest neighbors[J]. International Journal of Forecasting,2010, 26(4): 666-683. DOI:10.1016/j.ijforecast.2009.08.006
90 Zubcsek P P, Katona Z, Sarvary M. Predicting mobile advertising response using consumer colocation networks[J]. Journal of Marketing,2017, 81(4): 109-126. DOI:10.1509/jm.15.0215
引用本文
刘通, 黄敏学, 余正东. 心理协同视角下的计算广告：研究述评与展望[J]. 外国经济与管理, 2022, 44(7): 101-125.
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