Developing Geo-recommender Systems for Industry View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Edith Verdejo-Palacios , Giner Alor-Hernández , Cuauhtémoc Sánchez-Ramírez , Lisbeth Rodríguez-Mazahua , José Luis Sánchez-Cervantes , Susana Itzel Pérez-Rodríguez

ABSTRACT

Recommender systems are broadly used to provide filtered information from a large amount of elements. They provide personalized recommendations on products or services to users. The recommendations are intended to provide interesting elements to users. Nowadays, recommender systems and geolocation services have focused the attention of many users, this attention has produced a new kind of recommender system called Geo-recommender. Geo-recommender systems can successfully suggest different places depending on the users’ interest and current location. This characteristic is useful in market competition, since it allows a better analysis of the study of business locations. Geolocation is key factor to obtain the desired business success; while a business is closer to customers, the benefits are greater. In this chapter, we propose an integration architecture for developing geo-recommender systems for industry. Different case studies are described where the use of geo-recommender systems has taken relevance. The architecture proposed has a layered design, where the functionalities and interrelations of the layer components are distributed in order to ensure maintenance and scalability. Also, a geo-recommender system prototype called GEOREMSYS was developed as a proof of concept of the architecture proposed. GEOREMSYS uses collaborative filtering techniques by giving possible locations for Point of Sale (POS). More... »

PAGES

241-262

References to SciGraph publications

  • 2014. TravelBuddy: Interactive Travel Route Recommendation with a Visual Scene Interface in MULTIMEDIA MODELING
  • 2014. Location-Aware Music Artist Recommendation in MULTIMEDIA MODELING
  • 2014. A Geo-collaborative Recommendation Tool to Help Urban Mobility in HUMAN-COMPUTER INTERACTION. APPLICATIONS AND SERVICES
  • Book

    TITLE

    Current Trends on Knowledge-Based Systems

    ISBN

    978-3-319-51904-3
    978-3-319-51905-0

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-51905-0_12

    DOI

    http://dx.doi.org/10.1007/978-3-319-51905-0_12

    DIMENSIONS

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