75,483 research outputs found
Customer purchase behavior prediction in E-commerce: a conceptual framework and research agenda
Digital retailers are experiencing an increasing number of transactions coming from their consumers online, a consequence of the convenience in buying goods via E-commerce platforms. Such interactions compose complex behavioral patterns which can be analyzed through predictive analytics to enable businesses to understand consumer needs. In this abundance of big data and possible tools to analyze them, a systematic review of the literature is missing. Therefore, this paper presents a systematic literature review of recent research dealing with customer purchase prediction in the E-commerce context. The main contributions are a novel analytical framework and a research agenda in the field. The framework reveals three main tasks in this review, namely, the prediction of customer intents, buying sessions, and purchase decisions. Those are followed by their employed predictive methodologies and are analyzed from three perspectives. Finally, the research agenda provides major existing issues for further research in the field of purchase behavior prediction online
The Partial Evaluation Approach to Information Personalization
Information personalization refers to the automatic adjustment of information
content, structure, and presentation tailored to an individual user. By
reducing information overload and customizing information access,
personalization systems have emerged as an important segment of the Internet
economy. This paper presents a systematic modeling methodology - PIPE
(`Personalization is Partial Evaluation') - for personalization.
Personalization systems are designed and implemented in PIPE by modeling an
information-seeking interaction in a programmatic representation. The
representation supports the description of information-seeking activities as
partial information and their subsequent realization by partial evaluation, a
technique for specializing programs. We describe the modeling methodology at a
conceptual level and outline representational choices. We present two
application case studies that use PIPE for personalizing web sites and describe
how PIPE suggests a novel evaluation criterion for information system designs.
Finally, we mention several fundamental implications of adopting the PIPE model
for personalization and when it is (and is not) applicable.Comment: Comprehensive overview of the PIPE model for personalizatio
Participatory knowledge mobilisation: an emerging model for international translational research in education
Research alone does not inform practice, rather a process of knowledge translation is required to enable research findings to become meaningful for practitioners in their contextual settings. However, the translational process needs to be an iterative cycle so that the practice itself can be reflected upon and thereby inform the ongoing research agenda. This paper presents the initial findings of a study into an international, participatory model of knowledge mobilization in the context of translational research in the field of education. Using a mixed methods approach, the study draws upon data collected from the Education Futures Collaboration (EFC), an educational charity, which has developed an international knowledge mobilization strategy. Through the innovative use of technologies this initiative improves the link between research and practice by finding new and practical ways to improve the knowledge base for practitioners. The EFC has developed two work strands within the international knowledge mobilization strategy, which utilise two complementary digital platforms. The first is the online MESHGuides (Mapping Educational Specialist knowHow), a collaborative tool for connecting educators with visual summaries of educational research from which practice can be developed. The second is the online Education Communities of Practice network, which is used to support international partnerships for collaboration between researchers and practitioners. Findings indicate that utilising web 2.0 tools to develop translational research through MESHGuides is significantly groundbreaking in its vision and scope with respect to practitioners accessing and building the knowledge base of the teaching profession internationally and strengthening the link between researchers and practitioners, thereby increasing the impact of research in education
Practitioner requirements for integrated Knowledge-Based Engineering in Product Lifecycle Management.
The effective management of knowledge as capital is considered essential to the
success of engineering product/service systems. As Knowledge Management (KM) and
Product Lifecycle Management (PLM) practice gain industrial adoption, the
question of functional overlaps between both the approaches becomes evident.
This article explores the interoperability between PLM and Knowledge-Based
Engineering (KBE) as a strategy for engineering KM. The opinion of key KBE/PLM
practitioners are systematically captured and analysed. A set of ranked business
functionalities to be fulfiled by the KBE/PLM systems integration is elicited.
The article provides insights for the researchers and the practitioners playing
both the user and development roles on the future needs for knowledge systems
based on PLM
Early Prediction of Movie Box Office Success based on Wikipedia Activity Big Data
Use of socially generated "big data" to access information about collective
states of the minds in human societies has become a new paradigm in the
emerging field of computational social science. A natural application of this
would be the prediction of the society's reaction to a new product in the sense
of popularity and adoption rate. However, bridging the gap between "real time
monitoring" and "early predicting" remains a big challenge. Here we report on
an endeavor to build a minimalistic predictive model for the financial success
of movies based on collective activity data of online users. We show that the
popularity of a movie can be predicted much before its release by measuring and
analyzing the activity level of editors and viewers of the corresponding entry
to the movie in Wikipedia, the well-known online encyclopedia.Comment: 13 pages, Including Supporting Information, 7 Figures, Download the
dataset from: http://wwm.phy.bme.hu/SupplementaryDataS1.zi
Towards a service-oriented e-infrastructure for multidisciplinary environmental research
Research e-infrastructures are considered to have generic and thematic parts. The generic part provids high-speed networks, grid (large-scale distributed computing) and database systems (digital repositories and data transfer systems) applicable to all research commnities irrespective of discipline. Thematic parts are specific deployments of e-infrastructures to support diverse virtual research communities. The needs of a virtual community of multidisciplinary envronmental researchers are yet to be investigated. We envisage and argue for an e-infrastructure that will enable environmental researchers to develop environmental models and software entirely out of existing components through loose coupling of diverse digital resources based on the service-oriented achitecture. We discuss four specific aspects for consideration for a future e-infrastructure: 1) provision of digital resources (data, models & tools) as web services, 2) dealing with stateless and non-transactional nature of web services using workflow management systems, 3) enabling web servce discovery, composition and orchestration through semantic registries, and 4) creating synergy with existing grid infrastructures
On relating functional modeling approaches: abstracting functional models from behavioral models
This paper presents a survey of functional modeling approaches and describes a strategy to establish functional knowledge exchange between them. This survey is focused on a comparison of function meanings and representations. It is argued that functions represented as input-output flow transformations correspond to behaviors in the approaches that characterize functions as intended behaviors. Based on this result a strategy is presented to relate the different meanings of function between the approaches, establishing functional knowledge exchange between them. It is shown that this strategy is able to preserve more functional information than the functional knowledge exchange methodology of Kitamura, Mizoguchi, and co-workers. The strategy proposed here consists of two steps. In step one, operation-on-flow functions are translated into behaviors. In step two, intended behavior functions are derived from behaviors. The two-step strategy and its benefits are demonstrated by relating functional models of a power screwdriver between methodologies
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