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Search Listing Prioritization: Ordering Search Results Based on User Ratings

Publication Type : Conference Proceedings

Publisher : IEEE

Source : 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS)

Url : https://doi.org/10.1109/csitss64042.2024.10816920

Campus : Bengaluru

School : School of Computing

Year : 2024

Abstract : This paper discusses creating a system that ranks search result using user-provided ratings and comments to improve the quality of search experiences. In this application, users can rate websites on a scale of 1 to 5 and leave comments that will be shown alongside each search result. The cumulative ratings determine the ranking of each website, with higher-rated websites appearing at the top. Only the top three comments are displayed, and they are randomized to ensure a diverse range of perspectives. Users can like or dislike a comment. Additionally, there is a dual feedback system that allows users to express their satisfaction or dissatisfaction with a website. This comprehensive feedback mechanism helps users make more informed choices and improve overall satisfaction by providing a better understanding of website quality.

Cite this Research Publication : Ananya Subramanian, Raimee Madhuri Shukla, Tirupathi Nikhitha, Rugmini Krishna, K. V. Vineetha, S. Ullas, Search Listing Prioritization: Ordering Search Results Based on User Ratings, 2024 8th International Conference on Computational System and Information Technology for Sustainable Solutions (CSITSS), IEEE, 2024, https://doi.org/10.1109/csitss64042.2024.10816920

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