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Developing an Intelligent System for Recommending Products

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Intelligent Computing and Optimization (ICO 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1324))

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Abstract

When it comes to making decisions on which product to buy, knowing the overall reviews from other users becomes very helpful. Evaluating this task from user ratings is so simple. Although a machine can be used for evaluating the recommendations, simply by calculating its user ratings, sometimes it becomes difficult to provide accurate and efficient results. As therefore, evaluating users’ comments usually leads to assigning humans to read all the comments one by one and then let them decide on how useful the product seems. This is a tedious process which wastes our valuable time and resources due to no way of automating the process. On the other hand, selecting the most valuable product from an enormous number of reviews becomes a hectic task for the consumers. Considering all of the above, we have developed a machine learning based intelligent system which not only evaluates the ratings from users’ reviews but also provides a reflection about the products which are popular simply by analyzing those reviews.

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Author information

Authors and Affiliations

  1. Department of CSE, CUET, Chattogram, Bangladesh

    Md. Shariful Islam, Md. Shafiul Alam Forhad & Mohammad Shamsul Arefin

  2. Information and Communication Technology Division, Dhaka, Bangladesh

    Md. Ashraf Uddin

  3. Department of CSE, JUST, Jessore, Bangladesh

    Syed Md. Galib

  4. Department of EEE, AUST, Dhaka, Bangladesh

    Md. Akib Khan

Authors
  1. Md. Shariful Islam
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  2. Md. Shafiul Alam Forhad
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  3. Md. Ashraf Uddin
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  4. Mohammad Shamsul Arefin
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  5. Syed Md. Galib
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  6. Md. Akib Khan
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Corresponding author

Correspondence to Md. Shafiul Alam Forhad .

Editor information

Editors and Affiliations

  1. Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, Tronoh, Perak, Malaysia

    Pandian Vasant

  2. Faculty of Electrical Engineering and Computer Science, VŠB TU Ostrava, Ostrava, Czech Republic

    Ivan Zelinka

  3. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

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Islam, M.S., Forhad, M.S.A., Uddin, M.A., Arefin, M.S., Galib, S.M., Khan, M.A. (2021). Developing an Intelligent System for Recommending Products. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing, vol 1324. Springer, Cham. https://doi.org/10.1007/978-3-030-68154-8_43

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