Multi-modal Embedding Fusion-based Recommender

Recommendation systems have lately been popularized globally, with primary use cases in online interaction systems, with significant focus on e-commerce platforms. We have developed a machine learning-based recommendation platform, which can be easily applied to almost any items and/or actions domain. Contrary to existing recommendation systems, our platform supports multiple types of interaction data with multiple modalities of metadata natively. This is achieved through multi-modal fusion of various data representations. We deployed the platform into multiple e-commerce stores of different kinds, e.g. food and beverages, shoes, fashion items, telecom operators. Here, we present our system, its flexibility and performance. We also show benchmark results on open datasets, that significantly outperform state-of-the-art prior work.Comment: 7 pages, 8 figure

Impact of web and digital experience on the stickiness of third party hotel website / Nina Farisha Isa...[et al]

The rapid development and use of mobile technologies has changed the way of our everyday lives, especially individual that feel a sense of experience as a tool for enhancing task performance. In addition, mobile technologies also have changed the way marketers and consumers communicate. However, digital experience is still a largely unexplored concept in both hospitality research and practice. Drawing from the literature on human computer interaction in information system and flow theory in consumer behavior research, this study theoretically identifies and empirically explores the concept of flow through experience and its antecedents (i.e., web experience and digital experience on the outcome, and web stickiness) in the hotel context. Using eCommerce website and mobile technologies as the target, an offline and online survey will be conducted. This study contributes theoretically and empirically to the body of IS use research and has managerial implications, suggesting that web experience and digital experience is a necessary condition for stick to the websites. As a result, by improving user’s experience through digital applications is critical to build strong relationships with the consumers

The Role of the Mangement Sciences in Research on Personalization

We present a review of research studies that deal with personalization. We synthesize current knowledge about these areas, and identify issues that we envision will be of interest to researchers working in the management sciences. We take an interdisciplinary approach that spans the areas of economics, marketing, information technology, and operations. We present an overarching framework for personalization that allows us to identify key players in the personalization process, as well as, the key stages of personalization. The framework enables us to examine the strategic role of personalization in the interactions between a firm and other key players in the firm's value system. We review extant literature in the strategic behavior of firms, and discuss opportunities for analytical and empirical research in this regard. Next, we examine how a firm can learn a customer's preferences, which is one of the key components of the personalization process. We use a utility-based approach to formalize such preference functions, and to understand how these preference functions could be learnt based on a customer's interactions with a firm. We identify well-established techniques in management sciences that can be gainfully employed in future research on personalization.CRM, Persoanlization, Marketing, e-commerce,

Alter ego, state of the art on user profiling: an overview of the most relevant organisational and behavioural aspects regarding User Profiling.

This report gives an overview of the most relevant organisational and\ud behavioural aspects regarding user profiling. It discusses not only the\ud most important aims of user profiling from both an organisation’s as\ud well as a user’s perspective, it will also discuss organisational motives\ud and barriers for user profiling and the most important conditions for\ud the success of user profiling. Finally recommendations are made and\ud suggestions for further research are given

Website design on the hospitality industry: how Portuguese men and women differ on their design preferences of destination marketing organizations’ websites

As the internet and e-commerce rapidly grow worldwide and in Portugal, websites become critical success factors for several businesses. This study investigated gender differences and preferences on the design criteria of Destination Marketing Organizations (DMOs) websites and it was conducted in Portugal, using Booking.com as an example of a DMO. Results from an online survey with 266 participants showed there were gender differences in the importance given to ease of use and on the importance given to usability and content. This information allows for the content and visuals of a website (e.g. Booking.com) to be adapted considering gender differences and preferences. Results like a higher importance given by women to the ease of use of a DMO website may serve as useful insights for website designers in Portugal