Personalized Recommendation of Socially Relevant Images

Karlsen, Randi; Elahi, Najeeb; Andersen, Anders

doi:10.1145/3227609.3227672

Cited by 3 publications

(1 citation statement)

References 16 publications

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“…These terms are supposed to correctly represent the document subjects and the weights are responsible for measuring their importance in terms of the entire document collection and within each document. Some examples of the use of term-based profiles for recommendation reflect how widely they are used in CBR, and these include TV programme recommendation (Wartena et al 2011), expert finding (de Campos et al 2020), treatments for patients in a health RS (Bateja et al 2018), tweet recommendation (Benzarti and Faiz 2016), and image recommendation (Karlsen et al 2018).…”

Section: Related Workmentioning

confidence: 99%

Use of topical and temporal profiles and their hybridisation for content-based recommendation

Campos

Fernández‐Luna

Huete

2023

User Model User-Adap Inter

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In the context of content-based recommender systems, the aim of this paper is to determine how better profiles can be built and how these affect the recommendation process based on the incorporation of temporality, i.e. the inclusion of time in the recommendation process, and topicality, i.e. the representation of texts associated with users and items using topics and their combination. To that end, we build both topically and temporally homogeneous subprofiles to represent items. The main contribution of the paper is to present two different ways of hybridising these two dimensions and to evaluate and compare them with other alternatives. Our proposals and experiments are carried out in the specific context of publication venue recommendation.

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