336 research outputs found
Scalable and interpretable product recommendations via overlapping co-clustering
We consider the problem of generating interpretable recommendations by
identifying overlapping co-clusters of clients and products, based only on
positive or implicit feedback. Our approach is applicable on very large
datasets because it exhibits almost linear complexity in the input examples and
the number of co-clusters. We show, both on real industrial data and on
publicly available datasets, that the recommendation accuracy of our algorithm
is competitive to that of state-of-art matrix factorization techniques. In
addition, our technique has the advantage of offering recommendations that are
textually and visually interpretable. Finally, we examine how to implement our
technique efficiently on Graphical Processing Units (GPUs).Comment: In IEEE International Conference on Data Engineering (ICDE) 201
Trusted Knowledge Infusion Model-based Recommender System for IoT based B2B applications
The exponential growth and usage of Internet, social sites, and e-commerce results extensive amount of information everywhere. It becomes very difficult for the people to search something, so they go for the offered suggestions which are pertinent for them rather than searching from a potentially overwhelming number of options. Recommender Systems are the solutions for such difficulties. There are many powerful Recommender Systems available for e-commerce, websites, books, tourism, and documents, but recommendations for IoT-based applications need of new discoveries. Traditional recommendations methods are not sufficient for big data based scalable and heterogeneous IoT environment. In this paper, we propose a knowledge infusion model-based hybrid recommendation model for IoT-based B2B applications. The proposed model is analyzed with a real dataset, and the evaluation represents that model performs well in terms execution time, RMSE, precision and F1-score as compared with the existing models
The legal anatomy of electronic platforms:a prior study to assess the need of a law of platforms in the EU
Digital economy is nowadays a Platform economy. This pervading expansion of
platforms has been triggered by their value-creating ability and trust-generation potential.
The emergence and increasing popularity of disruptive models, such as sharing-based
economy, crowdfunding or fintech variants, have been greatly accelerated by platformbased
solutions. Platforms have also transformed social, political, public and educational
contexts by providing participative and collaborative environments, creating new
opportunities, facilitating the creation of communities, mobilizing resources and capital,
and promoting innovation. Along with these visible social and economic disruptions,
platforms are also legally disruptive. Their self-regulating power, the internal relational
complexity, and the potential role of platform operators for infringement prevention
and civil enforcement in a possible policy shift towards an increasing intermediariesâ
responsibility have triggered regulatory interest. The aim of this Paper is to examine the
platform model in order to explore the legal anatomy of electronic platforms and identify
the key issues to consider for possible legislative actions in respect of the same within
the context of the European Union (EU) Digital Single Market. First, the analysis concludes
that existing transaction-oriented rules are insufficient to fully cover all legal angles of
platforms and do not capture its âinstitutional dimensionâ. Regulations would have to
define operatorsâ obligations in relation to usersâ protection, transparency, prevention or
private enforcement. Then, the first key regulatory issue to consider is the role that
platform operator may or should play. Second, the analysis reveals that the binominal
division of information society service providers is not entirely consistent with the actual
role of platform operators for the purposes of the application of the specific intermediary
liability rules. Thus, the adoption of a set of uniform criteria under which the platform
operator might be deemed as an intermediary, and the devising of a common liability
regime for platforms would be critical areas to focus regulatory attention on. Third, as
the community-based architecture of platforms enables the articulation of decentralized
trust-generating mechanisms (reputational feedback systems, recommender systems,
rating and listing), it would be pertinent to consider the elaboration of uniform concepts
regarding those decentralized reputational systems, speculate on possible common criteria in design and operation (good practices, standards), and ultimately clarify liability scenarios
Digital Fairness for Consumers
The authors hope to initiate a broader discussion on what digital fairness might mean andhow digital fairness can be anchored in the EU consumer law. Limiting digital fairness to threepieces of EU legislation is certainly not a promising avenue. The EU Digital Policy Legislationcuts across the consumer law acquis as a whole and would require to evaluate each and everypiece of the consumer law acquis. The question to be studied is whether the European con -sumer law acquis, which was developed under a political agenda which dates back to thefamous Kennedy Declaration 1962 and a different industrial economy, can handle the risksand problems consumers might face in the exponentially developing digital economy, whichreaches beyond the linear thinking of human mankind. In that sense, the findings should beunderstood as the first building block in an ongoing process to find appropriate answers notonly for consumer protection but for society at large.The authors propose to discuss the possible implications of the findings with a view to devel-oping a âDigital Fairness Act
Digital Fairness for Consumers
The authors hope to initiate a broader discussion on what digital fairness might mean andhow digital fairness can be anchored in the EU consumer law. Limiting digital fairness to threepieces of EU legislation is certainly not a promising avenue. The EU Digital Policy Legislationcuts across the consumer law acquis as a whole and would require to evaluate each and everypiece of the consumer law acquis. The question to be studied is whether the European con -sumer law acquis, which was developed under a political agenda which dates back to thefamous Kennedy Declaration 1962 and a different industrial economy, can handle the risksand problems consumers might face in the exponentially developing digital economy, whichreaches beyond the linear thinking of human mankind. In that sense, the findings should beunderstood as the first building block in an ongoing process to find appropriate answers notonly for consumer protection but for society at large.The authors propose to discuss the possible implications of the findings with a view to devel-oping a âDigital Fairness Act
UX-for Smart-PSS: Towards a Context-Aware Framework
Smart-product service systems are a business strategy that combines product and service into one value proposition. The user experience of digital services and the smart product can be a clear differentiator among competitors to achieve economically sustainable solutions. Hence, offering a more personalized experience is an important aspect of S-PSS. This paper aims to provide a theoretical framework for a context-aware user experience in S-PSS by providing adaptive and personalized services to the users according to their needs in a given context, by exploiting the digital capabilities of smart products and referring to the use of recommendation systems. The paper presents an application scenario using a smart-wearable as an example of a product-oriented PSS to better describe the framework and each component while stating the future challenges
Jukebox: An Adaptive Collaborative Open Application Development Ecosystem
In this day and age products are expected to be delivered to the right consumer at the right time through the right channel, in a way that inspires, informs and excites them. An adaptive, collaborative, open, and flexible mobile application solution has been designed for implementation. This solution undertakes to promote a broad level of inter and intra industry inclusivity, increase efficiency and efficacy, reduce total cost of operations, secure high transactional revenues, optimally channelize investments for better returns with minimum data pilferage and stimulates value for the end-users. The solution uses a jukebox metaphor and proposes conceptual workflows, architectures, protocols, and an application development ecosystem. These artefacts are a call for standards that could potentially evoke a paradigm change in mobile app development and operations
Extending Knowledge Graphs with Subjective Influence Networks for personalized fashion
International audienceThis chapter shows Stitch Fix's industry case as an applied fashion application in cognitive cities. Fashion goes hand in hand with the economic development of better methods in smart and cognitive cities, leisure activities and consumption. However, extracting knowledge and actionable insights from fashion data still presents challenges due to the intrinsic subjectivity needed to effectively model the domain. Fashion ontologies help address this, but most existing such ontologies are "clothing" ontologies, which consider only the physical attributes of garments or people and often model subjective judgements only as opaque categorizations of entities. We address this by proposing a supplementary ontological approach in the fashion domain based on subjective influence networks. We enumerate a set of use cases this approach is intended to address and discuss possible classes of prediction questions and machine learning experiments that could be executed to validate or refute the model. We also present a case study on business models and monetization strategies for digital fashion, a domain that is fast-changing and gaining the battle in the digital domain
Designing Multi-sided Community Platforms for Local High Street Retail
The continuing rise of online retail comes at the expense of small and medium-sized stores in local high streets. Many cities now experience substantial vacancies and the decline of independent and family-owned stores, impeding citizensâ perceived quality of living. In this paper, we design the community platform âsmartmarketÂČâ, with which networks of local retailers interact with networks of customers to co-create a physical and at the same time digital customer experience in a high street. The platform connects with retailersâ information systems, while interfacing with in-store technologies to connect with potential customersâ smartphones. From a theoretical perspective, the platform exemplifies how previous research on value co-creation, multi-sided (engagement) platforms, and retail communities can complement each other to constitute online-offline customer experience. Based on comparing smartmarketÂČ with rival IT artifacts, we abstract nascent design knowledge by conceptualizing a design theory for âcommunity platforms for high street retailâ as a new class of IT artifacts. We conclude the paper with identifying how digital servicesâincluding cross-promotions, geographical recommender systems, and geospatial analyticsâmay be offered on the platform to leverage the competitive position of small and medium-sized retailers in local high streets through online-offline customer experience
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