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Developing Design Principles for a Crowd-Based Business Model Validation System [chapter]

Dominik Dellermann, Nikolaus Lipusch, Philipp Ebel
2017 Lecture Notes in Computer Science  
Our aim is thus to develop tentative design principles for crowd-based business model validation (CBMV) systems.  ...  For developing such information systems, we combine the concept of crowdsourcing with findings from research on decision support systems to propose theory-grounded design principles for a CBMV system.  ...  Decisional guidance can either be suggestive (i.e., explicitly recommending what to do) or informative, "providing pertinent information that enlightens the user's choice without suggesting or implying  ... 
doi:10.1007/978-3-319-59144-5_10 fatcat:uxguhcnhdjbtljehjivxr7stau

Attentive Knowledge-aware Graph Convolutional Networks with Collaborative Guidance for Personalized Recommendation [article]

Yankai Chen, Yaming Yang, Yujing Wang, Jing Bai, Xiangchen Song, Irwin King
2022 arXiv   pre-print
However, simply integrating KGs in current KG-based RS models is not necessarily a guarantee to improve the recommendation performance, which may even weaken the holistic model capability.  ...  In this paper, we propose attentive Knowledge-aware Graph convolutional networks with Collaborative Guidance for personalized Recommendation (CG-KGR).  ...  [15] is the latest state-of-the-art propagation-based method employing a heterogeneous propagation strategy to encode diverse information for better recommendation. C.  ... 
arXiv:2109.02046v2 fatcat:q5kwzcngujc77fjro2tczgtyaq

Right Sizing Reference Architectures; How to provide specific guidance with limited information

Gerrit Muller
2008 INCOSE International Symposium  
The growing complexity and size of systems and the organizations that create these systems trigger the need for instruments that facilitate the creation of these systems.  ...  discussion about the content of Reference Architectures and their relation with system architectures, system design and actual systems, we zoom in on the question what the appropriate level of detail is for  ...  Acknowledgements Discussions in the System Architecting Forum provided a lot of input for this paper, see [Muller 2007 ].  ... 
doi:10.1002/j.2334-5837.2008.tb00917.x fatcat:nurhomy5gbbmrohyydshae2taq

Design principles for a hybrid intelligence decision support system for business model validation

Dominik Dellermann, Nikolaus Lipusch, Philipp Ebel, Jan Marco Leimeister
2018 Electronic Markets  
However, previous work on decisional guidance for business model validation provides no solution for the highly uncertain and complex context of earlystage startups.  ...  One of the most critical tasks for startups is to validate their business model.  ...  However, neither academia nor managerial practice are offering IT-based solutions to iteratively provide such guidance.  ... 
doi:10.1007/s12525-018-0309-2 fatcat:dcocauxf35frhkmatxj42pgity

Modeling Scale-free Graphs with Hyperbolic Geometry for Knowledge-aware Recommendation [article]

Yankai Chen, Menglin Yang, Yingxue Zhang, Mengchen Zhao, Ziqiao Meng, Jianye Hao, Irwin King
2022 arXiv   pre-print
networks for Recommendation (LKGR).  ...  Specifically, we employ different information propagation strategies in the hyperbolic space to explicitly encode heterogeneous information from historical interactions and KGs.  ...  is not explicitly modeled, which may result in suboptimal representation learning for users and items. (3) Propagation-based methods, performing iterative message passing with the guidance of the topological  ... 
arXiv:2108.06468v3 fatcat:crvllwrugvhsvc7h2lg3skchdu

Simulating the Dynamic Intra-Tumor Heterogeneity and Therapeutic Responses

Yongjing Liu, Cong Feng, Yincong Zhou, Xiaotian Shao, Ming Chen
2022 Cancers  
The model is incorporated in the CES webserver, for the convenience of simulation according to initial user input.  ...  Based on this model, we investigate the influence of various factors on tumor progression and treatment consequences and present conclusions drawn from observations, highlighting the importance of treatment  ...  The "Help" page provides basic guidance and recommendations to use the tool. upper limit is 10 iterations; for the immunotherapy and targeted therapy, the limit is 15 iterations.  ... 
doi:10.3390/cancers14071645 pmid:35406417 pmcid:PMC8996855 fatcat:rlae4pisabbszegp7kdkketcua

A Multi-Granular Aggregation-Enhanced Knowledge Graph Representation for Recommendation

Xi Liu, Rui Song, Yuhang Wang, Hao Xu
2022 Information  
KG has been applied in recommendation systems, exploiting graph neural networks (GNNs), but most existing recommendation models based on GNNs ignore the influence of node types and the loss of information  ...  limitation of information loss of the traditional GNN recommendation model.  ...  Acknowledgments: The authors would like to thank all of anonymous reviewers and editors for their helpful suggestions for the improvement of this paper.  ... 
doi:10.3390/info13050229 fatcat:k4fqottd3vaoncy5r7kgdty4zi

Information-based network control strategies consistent with estimated driver behavior

Alexander Paz, Srinivas Peeta
2009 Transportation Research Part B: Methodological  
This study proposes a fuzzy control based methodology to determine information-based network control strategies that are consistent with the controller's objectives and its estimation of driver response  ...  That is, the effects of driver response behavior to information provision may require more meaningful strategies than those provided under the traditional dynamic traffic assignment models to reliably  ...  Iterative search procedure and fuzzy control model for the determination of the behavior-consistent information-based control strategies.  ... 
doi:10.1016/j.trb.2008.06.007 fatcat:5zmvhdb6frdmfa6yt3mdqv2hii

Task-Guided and Path-Augmented Heterogeneous Network Embedding for Author Identification [article]

Ting Chen, Yizhou Sun
2016 arXiv   pre-print
Hence, challenges faced here are two folds: (1) how to embed the network under the guidance of the author identification task, and (2) how to select the best type of information due to the heterogeneity  ...  The guidance from author identification task for network embedding is provided both explicitly in joint training and implicitly during meta path selection.  ...  Acknowledgement We would like to thank anonymous reviewers for helpful suggestions. This work is partially supported by NSF CAREER #1453800.  ... 
arXiv:1612.02814v2 fatcat:g5lhuqmqpnfjjjckbkaeaiojfe

Heading for new Shores: Crowdsourcing for Entrepreneurial Opportunity Creation

Dominik Dellermann, Nikolaus Lipusch, Philipp Alexander Ebel
2018 European Conference on Information Systems  
In this conceptual paper, we propose crowdsourcing for opportunity creation as a new field of further research in both in the information systems and entrepreneurship domain.  ...  Based on this assessment we develop a research agenda that highlights the need to adapt previous crowdsourcing mechanisms for the special context of entrepreneurial opportunity creation.  ...  On the one side, the entrepreneur has only insufficient information about the responses from the market or other stakeholders regarding a novel technology-based value proposition.  ... 
dblp:conf/ecis/DellermannLE18 fatcat:w3aq77toejgf3cbl7o6x7achfe

Unsupervised Meta-path Reduction on Heterogeneous Information Networks [article]

Xiaokai Wei, Zhiwei Liu, Lichao Sun, Philip S. Yu
2018 arXiv   pre-print
Heterogeneous Information Network (HIN) has attracted much attention due to its wide applicability in a variety of data mining tasks, especially for tasks with multi-typed objects.  ...  Moreover, the reduced meta-paths can reflect the characteristic of the heterogeneous network. Previous endeavors try to reduce the number of meta-paths under the guidance of supervision information.  ...  Heterogeneous Information Network Meta-path based citation recommendation methods use the citation relationship as supervision to weight different metapaths .  ... 
arXiv:1810.12503v2 fatcat:m5zjwmw4nrgchpu4fndbafmruq

PRM11 Learning Effect in Economic Evaluations of Health Care Interventions

S. Chang, D. Sungher, A. Diamantopoulos
2011 Value in Health  
Two CCI scores were calculated for patients who were hospitalized in 2007: one based on the original weights (Charlson-CCI) and the other based on the weights updated by Quan et al.  ...  Adjusted R2 from linear regression models were used to estimate log-transformed healthcare expenditures (COST) in 2008.  ...  Model comparisons were based upon Akaike information criteria (AIC) and the Bayesian information criteria (BIC).  ... 
doi:10.1016/j.jval.2011.08.1042 fatcat:fptlyerus5egbpohewtsx2iozi

Solving the interoperability challenge of a distributed complex patient guidance system: a data integrator based on HL7's Virtual Medical Record standard

Carlos Marcos, Arturo González-Ferrer, Mor Peleg, Carlos Cavero
2015 JAMIA Journal of the American Medical Informatics Association  
complying with standards for the storage and processing of patient information needed for decision support and analytics.  ...  Objective We show how the HL7 virtual medical record (vMR) standard can be used to design and implement a data integrator (DI) component that collects patient information from heterogeneous sources and  ...  the MobiGuide PGS for which HL7 vMR class attributes did not exist in the base model for the needed semantics.  ... 
doi:10.1093/jamia/ocv003 pmid:25882034 fatcat:ur2izhej2fdazktno3wopk3cam

The Reluctant Analyst

2016 Journal of Accounting Research  
We provide extensive evidence that our model describes how investors believe analysts make recommendations, and that investors value private information revealed by analysts' recommendations.  ...  Publicly-available data matter far less for explaining recommendation dynamics than do the recommendation frictions and the long-lived information that analysts acquire that the econometrician does not  ...  As the first attempt to model and quantify the sources of stickiness in recommendations and the slow decay of private information, our framework allows for analyst heterogeneity in their valuation models  ... 
doi:10.1111/1475-679x.12120 fatcat:5rweuzpn5bepbcrfjbb44htgse

IA-GCN: Interactive Graph Convolutional Network for Recommendation [article]

Yinan Zhang, Pei Wang, Xiwei Zhao, Hao Qi, Jie He, Junsheng Jin, Changping Peng, Zhangang Lin, Jingping Shao
2022 arXiv   pre-print
Recently, Graph Convolutional Network (GCN) has become a novel state-of-art for Collaborative Filtering (CF) based Recommender Systems (RS).  ...  Our model is built on top of LightGCN, a state-of-the-art GCN model for CF, and can be combined with various GCN-based CF architectures in an end-to-end fashion.  ...  ACKNOWLEDGMENTS To Robert, for the bagels and explaining CMYK and color spaces.  ... 
arXiv:2204.03827v1 fatcat:6rzptqbf3jf6dnfdpq6ffflk4i
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