short-paper

Toward A Real-Time Social Recommendation System

Authors:

Rania Albalawi,

Morad BenyoucefAuthors Info & Claims

MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems

Pages 336 - 340

https://doi.org/10.1145/3297662.3365789

Published: 10 January 2020 Publication History

Abstract

Recent research has investigated approaches and models to produce optimal results in social recommendation systems (SRSs) particularly in text-based form. The aim is to analyze the user generated-content (UGC) to suggest appropriate recommendations to interested users. However, users are often not satisfied with the initial recommendations because some models do not elicit their preferences at the beginning of the interaction nor do they understand their actual needs. In this paper, we propose a real-time SRSs called ChatWithRec that aims to improve the accuracy of recommendations by analyzing the user's contextual conversation dynamically, detect the topic, and then match it with a suitable advertisement. We used the Latent Dirichlet Allocation topic model (LDA) to analyze the user's conversation and perceive topics. We evaluated our system by applying several metrics like coherence, and F-score to evaluate the performance of ChatWithRec recommendation system. The results are encouraging, indicating that the system is fast, satisfies users by getting exactly what they seek in their conversation flow.

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Cited By

Kumar Sharma ABajpai BAdhvaryu RDhruvi Pankajkumar SParthkumar Gordhanbhai PKumar A(2023)An Efficient Approach of Product Recommendation System using NLP TechniqueMaterials Today: Proceedings10.1016/j.matpr.2021.07.37180(3730-3743)Online publication date: 2023
https://doi.org/10.1016/j.matpr.2021.07.371
Deng Y(2022)Recommender Systems Based on Graph Embedding Techniques: A ReviewIEEE Access10.1109/ACCESS.2022.317419710(51587-51633)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3174197
Syahputri IFerdiana RKusumawardani S(2020)Does System Based on Artificial Intelligence Need Software Engineering Method? Systematic Review2020 Fifth International Conference on Informatics and Computing (ICIC)10.1109/ICIC50835.2020.9288582(1-6)Online publication date: 3-Nov-2020
https://doi.org/10.1109/ICIC50835.2020.9288582

Index Terms

Toward A Real-Time Social Recommendation System
1. Information systems
  1. World Wide Web
    1. Web searching and information discovery
      1. Social recommendation

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Published In

cover image ACM Other conferences

MEDES '19: Proceedings of the 11th International Conference on Management of Digital EcoSystems

November 2019

350 pages

ISBN:9781450362382

DOI:10.1145/3297662

General Chairs:
Richard Chbeir
University of Pau and Pays de l'Adour, France
,
Yannis Manolopoulos
Open University of Cyprus, Cyprus
,
Program Chairs:
Sergio Ilarri
University of Zaragoza, Spain
,
Apostolos Papadopoulos
Aristotle University of Thessaloniki, Greece

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part 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 components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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SIGAPP: ACM Special Interest Group on Applied Computing

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New York, NY, United States

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Published: 10 January 2020

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MEDES '19

MEDES '19: 11th International Conference on Management of Digital EcoSystems

November 12 - 14, 2019

Limassol, Cyprus

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MEDES '19 Paper Acceptance Rate 41 of 102 submissions, 40%;

Overall Acceptance Rate 267 of 682 submissions, 39%

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Cited By

Kumar Sharma ABajpai BAdhvaryu RDhruvi Pankajkumar SParthkumar Gordhanbhai PKumar A(2023)An Efficient Approach of Product Recommendation System using NLP TechniqueMaterials Today: Proceedings10.1016/j.matpr.2021.07.37180(3730-3743)Online publication date: 2023
https://doi.org/10.1016/j.matpr.2021.07.371
Deng Y(2022)Recommender Systems Based on Graph Embedding Techniques: A ReviewIEEE Access10.1109/ACCESS.2022.317419710(51587-51633)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3174197
Syahputri IFerdiana RKusumawardani S(2020)Does System Based on Artificial Intelligence Need Software Engineering Method? Systematic Review2020 Fifth International Conference on Informatics and Computing (ICIC)10.1109/ICIC50835.2020.9288582(1-6)Online publication date: 3-Nov-2020
https://doi.org/10.1109/ICIC50835.2020.9288582

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