skip to main content
10.1145/2959100.2959115acmconferencesArticle/Chapter ViewAbstractPublication PagesrecsysConference Proceedingsconference-collections
demonstration

A Recommender System to tackle Enterprise Collaboration

Published:07 September 2016Publication History

ABSTRACT

In order to survive, companies depend on their capacity to generate and manage knowledge while promoting alignment among its employees. To tackle this problem, it was developed an enterprise collaboration platform named Smart Canvas, a service whose goal is to leverage companies' knowledge and tear down silos by connecting people, teams, and content. These connections are suggested by a Recommender System, using techniques like Topic Modeling, Content-Based Filtering and Graph traversing. Smart Canvas is a multi-tenant Software as a Service, featuring a scalable cloud-based Recommender System architecture, including tools like Spark and Titan Graph Database, deployed on Google Cloud Platform.

References

  1. Nigel Fenwick, 2015. Resolving The Collaboration Paradox. Forrester Reports (Jun. 2015). Available in https://www.forrester.com/report/Resolving+The+Collaboration+Paradox/-/E-RES119837Google ScholarGoogle Scholar
  2. Singhal, A., Buckley, C., & Mitra, M. 1996. Pivoted document length normalization. In Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval (pp. 21--29). ACM Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. A Recommender System to tackle Enterprise Collaboration

      Recommendations

      Comments

      Login options

      Check if you have access through your login credentials or your institution to get full access on this article.

      Sign in
      • Published in

        cover image ACM Conferences
        RecSys '16: Proceedings of the 10th ACM Conference on Recommender Systems
        September 2016
        490 pages
        ISBN:9781450340359
        DOI:10.1145/2959100

        Copyright © 2016 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

        Publisher

        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 7 September 2016

        Check for updates

        Qualifiers

        • demonstration

        Acceptance Rates

        RecSys '16 Paper Acceptance Rate29of159submissions,18%Overall Acceptance Rate254of1,295submissions,20%

        Upcoming Conference

        RecSys '24
        18th ACM Conference on Recommender Systems
        October 14 - 18, 2024
        Bari , Italy
      • Article Metrics

        • Downloads (Last 12 months)7
        • Downloads (Last 6 weeks)1

        Other Metrics

      PDF Format

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader