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Enhancing Mobile App User Understanding and Marketing with Heterogeneous Crowdsourced Data: A Review

Bin Guo, Yi Ouyang, Tong Guo, Longbing Cao, Zhiwen Yu
2019 IEEE Access  
This paper reviews CrowdApp, a research field that leverages heterogeneous crowdsourced data for mobile app user understanding and marketing.  ...  We further discuss the open issues and future trends of the CrowdApp. Finally, an evolvable app ecosystem architecture based on heterogeneous crowdsourced data is presented.  ...  [114] tackle the problem of cross-platform app recommendation, aiming at leveraging users' and apps' data on multiple platforms to enhance the recommendation accuracy. Pan et al.  ... 
doi:10.1109/access.2019.2918325 fatcat:de763kc4qbdy5ijo55jxyhzgt4

Applying the Best-Fit Framework to Assess and Strengthen National Extension and Advisory Services

Kristin Davis, David J. Spielman
2017 Journal of International Agricultural and Extension Education  
This paper examines the application of this framework across six dimensions and seven countries to formulate a set of best-fit recommendations that are also broadly appreciable.  ...  Across the seven countries, certain obvious commonalities exist: The growth in pluralism in extension providers, the persistence of weak incentives for extension agents, and the lack of enabling policies  ...  might be, and finally, to recommend systems change.  ... 
doi:10.5191/jiaee.2017.24307 fatcat:vzdzrbr3x5d33fwtpl77nigi7y

Managing Customer Relationships [chapter]

Ruth N. Bolton, Crina O. Tarasi
2007 Review of Marketing Research  
that foster organizational learning, creating value for customers and the firm, managing sources of value, investing resources across functions, organizational units, and channels, and globally optimizing  ...  For each organizational process, we identify some of the challenges facing marketing scientists and practitioners, and develop an extensive research agenda.  ...  marketing instruments, advertising communications, and distribution channels-and also the effects of competitive actions and heterogeneity across customers.  ... 
doi:10.1108/s1548-6435(2007)0000003005 fatcat:fn4tcix64vf7lghh5v4yqwlpie

A Simple Deep Personalized Recommendation System [article]

Pavlos Mitsoulis-Ntompos, Meisam Hejazinia, Serena Zhang, Travis Brady
2019 arXiv   pre-print
Such systems require high capacity to extract user preferences for items from implicit signals at scale.  ...  Recommender systems are critical tools to match listings and travelers in two-sided vacation rental marketplaces.  ...  We use adaptive stochastic gradient descent method to train the binary cross entropy of these neural networks.  ... 
arXiv:1906.11336v2 fatcat:zqcgxpjvtvhppdbf4jdj6kulgi

AI in Finance: Challenges, Techniques and Opportunities [article]

Longbing Cao
2021 arXiv   pre-print
The comparison, criticism and discussion of classic vs. modern AI techniques for finance are followed.  ...  This area has been lasting for decades with both classic and modern AI techniques applied to increasingly broader areas of finance, economy and society.  ...  Given investment behaviors and market behaviors, modeling their influence on the movements of an asset, a market or across markets, and predicting the asset price trend, market movement, or cross-market  ... 
arXiv:2107.09051v1 fatcat:g62cz4dqt5dcrbckn4lbveat3u

France: Selected Issues

2018 IMF Staff Country Reports  
A particularity of French firms' corporate debt is that intercompany loans and bonds account for about half of non-financial companies' debt.  ...  A cross-country regression analysis reveals that French publicly listed firms are on average not more indebted and have not increased their debt more than peers in other countries, after controlling for  ...  The objective of this paper is to document the evolution of French corporate debt since the global financial crisis, analyze the use of this debt, and uncover the importance of heterogeneity across sectors  ... 
doi:10.5089/9781484371138.002 fatcat:zcwy5sq77bgftbpma262wol7vu

Working to Eliminate Cancer Health Disparities from Tobacco: A Review of the National Cancer Institute's Community Networks Program

Elisa K. Tong, Pebbles Fagan, Leslie Cooper, Maria Canto, William Carroll, John Foster-Bey, James R. Hébert, Maria Lopez-Class, Grace X. Ma, Patricia Nez Henderson, Eliseo J. Pérez-Stable, LorrieAnn Santos (+4 others)
2015 Nicotine & Tobacco Research  
Future efforts may address scientific gaps, consider collaboration across groups, assess the extent of operationalizing community-based participatory research, and improve common tracking measures.  ...  leveraged partnerships with other organizations, a strategy encouraged by the CNP.  ...  Due to the diversity and heterogeneity of the CNP, we use a scientific framework for addressing tobacco disparities research.  ... 
doi:10.1093/ntr/ntv069 pmid:26180215 pmcid:PMC4542844 fatcat:fnhujdujxrg6bobwpiu3nuj2ou

Getting Nothing from Something: Unfulfilled Promises of Current Dominant Approaches to Entrepreneurial Decision-Making

Richard J. Arend
2020 Administrative Sciences  
We point out their weaknesses and their unfulfilled promises, and we argue for the field to move on forward with different ideas.  ...  In this conceptual piece, we challenge the value of two dominant models of the entrepreneurial process that have existed over the past two decades—the creativity school and the logic of effectuation.  ...  The new value emerges from the system's economies of scope (and variety), cross-synergies, cross-fertilization of ideas, added insights from the wider experiences across partners and from the holistic  ... 
doi:10.3390/admsci10030061 fatcat:p3n2lbje4jhmfaobxaz5nafzsa

Fostering Service Quality Delivery through Internal Marketing in Domestic Airlines in Nigeria

A.P Dr. Olannye, A.S Dr. Egwuenu, J.A.U Abubokhai
2017 Zenodo  
It recommends that Domestic Airlines should embrace the doctrine of internal marketing and be genuinely committed to the standard of internal marketing.  ...  The primary data for this research work were obtained from the management staff and employees in fifteen (15) Domestic Airlines in Nigeria, with the aid of a structured questionnaire through a cross-sectional  ...  In order for organizations to effectively align its marketing values with the aim of satisfying its customers, it is highly recommended that Internal marketing concept should be an integral part of the  ... 
doi:10.5281/zenodo.3472264 fatcat:n6wmfaakrbhgxajednxiaffrce

AI Ethics and Customer Care: Some Considerations from the Case of "Intelligent Sales"

Christine T. Wolf
2020 European Conference on Computer Supported Cooperative Work  
This paper contributes to discourses on the fairness, accountability, and transparency (FAccT*) of algorithmic systems by raising a number of emergent concerns in enterprise AI applications and in particular  ...  We focus on ways in which intelligent sales is envisioned to enrich the customer-sales relationship through the use of Big Data and AI, surfacing ethical considerations around: training data and the use  ...  Acknowledgments Thank you to the reviewers for helping refine this work. Thanks also to Mary Roth for early discussions on this topic.  ... 
doi:10.18420/ecscw2020_n02 dblp:conf/ecscw/Wolf20 fatcat:e47pbb4yd5edvp5wl7tb2zb3mu

Price-aware Recommendation with Graph Convolutional Networks [article]

Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin
2020 arXiv   pre-print
In this work, we aim at developing an effective method to predict user purchase intention with the focus on the price factor in recommender systems.  ...  In recent years, much research effort on recommendation has been devoted to mining user behaviors, i.e., collaborative filtering, along with the general information which describes users or items, e.g.  ...  Furthermore, modeling the dynamic of price is also a promising future direction.  ... 
arXiv:2003.03975v1 fatcat:s67v6cqifjbnzpzqznm6nhdgoe

Scaling Law for Recommendation Models: Towards General-purpose User Representations [article]

Kyuyong Shin, Hanock Kwak, Kyung-Min Kim, Su Young Kim, Max Nihlen Ramstrom, Jisu Jeong
2021 arXiv   pre-print
A recent trend shows that a general class of models, e.g., BERT, GPT-3, CLIP, trained on broad data at scale have shown a great variety of functionalities with a single learning architecture.  ...  In this work, we explore the possibility of general-purpose user representation learning by training a universal user encoder at large scales.  ...  Acknowledgements The authors would like to thank the NAVER CLOVA ML X team for insightful comments and discussions.  ... 
arXiv:2111.11294v2 fatcat:papg32ewznff7hcmrmupecwl6e

Editorial—The Exploration-Exploitation Tradeoff and Efficiency in Knowledge Production

K. Sudhir
2016 Marketing science (Providence, R.I.)  
Examples include richer modeling of consumer heterogeneity, separation of state dependence from heterogeneity, accounting for endogeneity and selection in observed market outcomes, modeling of forward-looking  ...  In our editorial to the special section, we articulated why the large cross-sectional variation across and within emerging markets, as well as the speed of temporal variation across many new types of variables  ... 
doi:10.1287/mksc.2015.0974 fatcat:ibm3ciexqveo3ipxdnso6jvra4

Financial Structure of Farm Businesses Under Imperfect Capital Markets

Peter J. Barry, Narda L. Sotomayor, Ralph W. Bierlen
2000 American Journal of Agricultural Economics  
Citation for published version (APA): Tamirat, A. S. (2018). Essays on the dynamics and heterogeneity of capital structure, risk and profit, with special reference to farm businesses.  ...  A better understanding of these variations across economies of, for example, developed vs developing countries and across countries with different legal, tax, and farm-support systems, such as European  ...  A better understanding of these variations across economies of, for example, developed vs developing countries and across countries with different legal, tax, and farm-support systems, such as European  ... 
doi:10.1111/0002-9092.00091 fatcat:5q54fi7s6fcsvbcwhafqk24mru

Discovering the City by Mining Diverse and Multimodal Data Streams

Yin-Hsi Kuo, Chung-Yen Hung, Liang-Chi Hsieh, Winston Hsu, Yan-Ying Chen, Bor-Chun Chen, Wen-Yu Lee, Chun-Che Wu, Chia-Hung Lin, Yu-Lin Hou, Wen-Feng Cheng, Yi-Chih Tsai
2014 Proceedings of the ACM International Conference on Multimedia - MM '14  
., attractions, topics) across social media in terms of visual and semantic perceptions.  ...  For example, Instagram users share more food and travel photos while Twitter users discuss more about sports and news.  ...  Observing the complementary properties across sources, we enable a systematic framework to leverage the cross-domain and multimodal data for numerous applications for NYC analytics. cial marketing campaigns  ... 
doi:10.1145/2647868.2656406 dblp:conf/mm/KuoCCLWLHCTHHH14 fatcat:z44e4ticmjaldnynjylc6k6vii
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