327,704 research outputs found

    Tools to integrate organoleptic quality criteria into breeding programs

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    This technical booklet provides methodologies and guidance to implement sensory evaluations for organoleptic quality assessment in multi-actor-projects for organic agriculture. It presents five detailed tests that can be used in sensory evaluation, methodologies on how to prepare the samples and a glossary. This booklet has been developed under Solibam project and updated during Diversifood project

    Sensory Experiences and Expectations of Organic Food. Results of Focus Group Discussions

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    This executive summary describes the main objectives and findings from a qualitative survey on consumers’ sensory experiences, expectations and preferences with respect to organic food. The survey was conducted in the frame of the European Commission funded project ECROPOLIS in 2009 in Germany (DE), France (FR), Italy (IT), Netherlands (NL), Poland (PL) and Switzerland (CH). The objectives of this research were to explore: - the range of experiences, expectations and preferences for specific sensory properties of organic food. - words that are used by consumers to differentiate the taste of organic products amongst themselves and compared to conventional ones. - symbolic’ meanings and images which participants relate to sensory characteristics of organic food. - consumers’ sensory expectations and preferences related to the variability and standardisation of organic food. - consumers’ experiences to marketing of sensory characteristics of organic food. - possible differences in consumers’ sensory expectations and preferences between the participating countries

    Towards Knowledge-Based Personalized Product Description Generation in E-commerce

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    Quality product descriptions are critical for providing competitive customer experience in an e-commerce platform. An accurate and attractive description not only helps customers make an informed decision but also improves the likelihood of purchase. However, crafting a successful product description is tedious and highly time-consuming. Due to its importance, automating the product description generation has attracted considerable interests from both research and industrial communities. Existing methods mainly use templates or statistical methods, and their performance could be rather limited. In this paper, we explore a new way to generate the personalized product description by combining the power of neural networks and knowledge base. Specifically, we propose a KnOwledge Based pErsonalized (or KOBE) product description generation model in the context of e-commerce. In KOBE, we extend the encoder-decoder framework, the Transformer, to a sequence modeling formulation using self-attention. In order to make the description both informative and personalized, KOBE considers a variety of important factors during text generation, including product aspects, user categories, and knowledge base, etc. Experiments on real-world datasets demonstrate that the proposed method out-performs the baseline on various metrics. KOBE can achieve an improvement of 9.7% over state-of-the-arts in terms of BLEU. We also present several case studies as the anecdotal evidence to further prove the effectiveness of the proposed approach. The framework has been deployed in Taobao, the largest online e-commerce platform in China.Comment: KDD 2019 Camera-ready. Website: https://sites.google.com/view/kobe201

    Consumer attitudes and preference exploration towards fresh-cut salads using best–worst scaling and latent class analysis

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    This research explored the preferences and buying habits of a sample of 620 consumers of fresh-cut, ready-to-eat salads. A best–worst scaling approach was used to measure the level of preference stated by individuals regarding 12 attributes for quality (intrinsic, extrinsic and credence) of fresh-cut salads. The experiment was carried out through direct interviews at several large-scale retail outlets in the Turin metropolitan area (north-west of Italy). Out of the total number of questioned consumers, 35% said they did not consume fresh-cut salads. On the contrary, the rest of the involved sample expressed the highest degree of preference towards the freshness/appearance attribute, followed by the expiration date and the brand. On the contrary, attributes such as price, organic certification and food safety did not emerge as discriminating factors in consumer choices. Additionally, five clusters of consumers were identified, whose preferences are related both to purchasing styles and socio-demographic variables. In conclusion, this research has highlighted the positive attitude of consumers towards quality products backed by a brand, providing ideas for companies to improve within this sector and implement strategies to answer the needs of a new segment of consumers, by determining market opportunities that aim to strengthen local brands

    Comprehensive Security Framework for Global Threats Analysis

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    Cyber criminality activities are changing and becoming more and more professional. With the growth of financial flows through the Internet and the Information System (IS), new kinds of thread arise involving complex scenarios spread within multiple IS components. The IS information modeling and Behavioral Analysis are becoming new solutions to normalize the IS information and counter these new threads. This paper presents a framework which details the principal and necessary steps for monitoring an IS. We present the architecture of the framework, i.e. an ontology of activities carried out within an IS to model security information and User Behavioral analysis. The results of the performed experiments on real data show that the modeling is effective to reduce the amount of events by 91%. The User Behavioral Analysis on uniform modeled data is also effective, detecting more than 80% of legitimate actions of attack scenarios

    There Is Something about Jena Malone: New Insights into How Celebrities Appeal to Consumers

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    The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the URI link.Although the public demand for celebrities has grown so strong these days that they have without any doubt become an essential part of our everyday lives and contemporary market economy, the marketing literature has paid scant attention to them beyond their mere potential as product endorsers. Therefore, this paper explores how celebrities capture our attention and appeal to us personally. In doing so, it seeks to explain in particular how and why consumers become emotionally attached to one celebrity, but remain indifferent to many other equally talented, interesting and attractive ones. Drawing on introspective insights from the author’s own personal fan relationship with the film actress Jena Malone and consumer responses from previous ethnographic studies of celebrity fans, the paper examines what the substance of a celebrity is and how it appeals to the individual consumer. The study finds that the substance of a celebrity consists of four key human brand attributes through which s/he appeals to consumers as a) the performer, b) the real person underneath the performer, c) the tangible manifestation of both through products, and c) the social link to other consumers
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