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Recommendation system for research papers in the PLM Library using content-based and collaborative filtering algorithms / Angeline G. Perea, Joyce Marian M. Espiritu, Gian Romulo T. Munoz. 6

By: Angeline G. Perea, Joyce Marian M. Espiritu, Gian Romulo T. Munoz. 4 0 16, [, ] | [, ] |

Contributor(s): 5 6 [] |

Language: Unknown language code Summary language: Unknown language code Original language: Unknown language code Series: ; January 2023.46Edition: Description: 28 cm. 102 ppContent type: text Media type: unmediated Carrier type: volumeISBN: ISSN: 2Other title: 6 []Uniform titles: | | Related works: 1 40 6 []Subject(s): -- 2 -- 0 -- -- | -- 2 -- 0 -- 6 -- | 2 0 -- | -- -- 20 -- | | -- -- -- -- 20 -- | -- -- -- 20 -- --Genre/Form: -- 2 -- Additional physical formats: DDC classification: | LOC classification: | | 2Other classification:

Contents:

Action note: In: Summary: ABSTRACT: Recommendation systems have been helpful tool to web users in various activites. These systems are created to help improve user experience and handle information overload with the main purpose of finding relevant and related items to create suggestions to the users. With this, the proponents of this study developed a web application for the university library of the Pamantasan ng Lungsod ng Maynila to help students find useful and credible papers for their on-going studies by recommending relevant research papers through keywords and user behaviors. The recommendation system was done using Content-Based and Collaborative Filtering Algorithms through the Django framework. The system was evaluated using the ISO 25010:2011 Standards. The evaluation yielded a grand weighted mean of 4.30 for Functional Suitability, and 4.58 for Performance Efficiency. Other editions:

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Item type	Current location	Home library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	PLM	PLM Filipiniana Section	Filipiniana-Thesis	T T58.6.P47.2023 (Browse shelf)	Available		FT7699

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Undergraduate Thesis: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2023. 56

ABSTRACT: Recommendation systems have been helpful tool to web users in various activites. These systems are created to help improve user experience and handle information overload with the main purpose of finding relevant and related items to create suggestions to the users. With this, the proponents of this study developed a web application for the university library of the Pamantasan ng Lungsod ng Maynila to help students find useful and credible papers for their on-going studies by recommending relevant research papers through keywords and user behaviors. The recommendation system was done using Content-Based and Collaborative Filtering Algorithms through the Django framework. The system was evaluated using the ISO 25010:2011 Standards. The evaluation yielded a grand weighted mean of 4.30 for Functional Suitability, and 4.58 for Performance Efficiency.

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