A Hybrid Feature Selection for Improving Prediction Performance with a Brain Stroke Case Study

Ushasree, D.; Krishna, A. V. Praveen; Rao, Ch. Mallikarjuna; Parameswari, D. V. Lalita

doi:10.1007/978-981-19-2211-4_33

Cited by 1 publication

(1 citation statement)

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“…How to construct user profiles has gotten a lot of attention in recent years as a way to improve the qualification of Web tailored services. Some researchers utilize a technique called [1] and to create a user profile; the system uses a fuzzy set based clustering algorithm [2]. Despite its simplicity, the profile becomes obsolete as the user's interests change due to a lack of dynamics.…”

Section: Related Workmentioning

confidence: 99%

Perception based User Profiles for Web Personalization

M P,

H K,

Raju

2023

IJRITCC

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Personalized web services reduce the burden of information overload by collecting facts that match the needs of the user. An important aspect of personalized web services is the creation of user profiles that contain user information and settings. This article introduces a unique method called Perception-Based User Profiles (PUP) based on perception and browsing order, develops and updates user profiles. User profiles include perceptions and relationships, which can help guarantee that user interests are represented semantically. Second, when calculating the perception and duration of the relationship, for each site in a session, the user's browsing order is considered. Third, cognitive psychometric memory model is used to update the user profile's perceptions and relationships at the end of each session, ensuring the user profile's dynamics. The results of the tests suggest that this strategy works well for building and updating user profiles.

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Section: Related Workmentioning

confidence: 99%