Overcoming the Cold-Start Problem in Recommendation Systems with Ontologies and Knowledge Graphs

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F23%3A00374427" target="_blank" >RIV/68407700:21240/23:00374427 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1007/978-3-031-42941-5_52" target="_blank" >https://doi.org/10.1007/978-3-031-42941-5_52</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-031-42941-5_52" target="_blank" >10.1007/978-3-031-42941-5_52</a>

Result language

angličtina

Original language name

Overcoming the Cold-Start Problem in Recommendation Systems with Ontologies and Knowledge Graphs

Original language description

Many recommendation systems struggle with the cold-start problem, especially in the early stages of a new application, when there are few active users and limited interactions. Traditional approaches like Collaborative Filtering cannot provide enough recommendations, and text-based methods, while helpful, do not offer sufficient context. This paper argues against the idea that the cold-start phase will eventually disappear and proposes a solution to enhance recommendation performance from the start. We propose using Ontologies and Knowledge Graphs to add a semantic layer to text-based methods and improve the recommendation performance in cold-start scenarios. Our approach uses ontologies to generate a knowledge graph that captures item text attributes’ implicit and explicit characteristics, extending the item profile with similar semantic keywords. We evaluate our method against state-of-the-art text feature extraction techniques and present the results of our experiments.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Communications in Computer and Information Science

ISSN

1865-0929

e-ISSN

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Volume of the periodical

2023

Issue of the periodical within the volume

1850

Country of publishing house

DE - GERMANY

Number of pages

13

Pages from-to

591-603

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-85172030358