Product recommendation in internet business: an integrated approach of fuzzy sets and multiple attribute decision making
Author:
Publisher
Springer Science and Business Media LLC
Subject
Human-Computer Interaction,Economics, Econometrics and Finance (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s10660-022-09644-7.pdf
Reference51 articles.
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2. Bertani, R. M., Bianchi, R. A., & Costa, A. H. R. (2020). Combining novelty and popularity on personalised recommendations via user profile learning. Expert Systems with Applications, 146, 113149.
3. Albadvi, A., & Shahbazi, M. (2009). A hybrid recommendation technique based on product category attributes. Expert Systems with Applications, 36(9), 11480–11488.
4. Kim, E., Libaque-Saenz, C. F., & Park, M. C. (2019). Understanding shopping routes of offline purchasers: selection of search-channels (online vs. offline) and search-platforms (mobile vs. PC) based on product types. Service Business, 13(2), 305–338.
5. Mandal, M., Mohanty, B. K., & Dash, S. (2021). Understanding consumer preference through fuzzy-based recommendation system. IIMB Management Review, 33(4), 287–298.
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