Deep approach based on user’s profile analysis for capturing user’s interests

dc.contributor.authorBesnkhelifa, Randa
dc.contributor.authorBouhyaoui, Nasria
dc.date.accessioned2022-04-12T10:52:02Z
dc.date.available2022-04-12T10:52:02Z
dc.date.issued2022-01-24
dc.descriptionForum Intervention of Artificial Intelligence and Its Applications. Faculty of Exat science. University of Eloueden_US
dc.description.abstractCapturing user’s interests and preferences by analyzing and interpreting the daily-shared contents in online social networks offer a unique information source for several domains such as business, marketing and politics. User’s profile describes its owner’s characteristics, where it contains several important personal information such as (age, sex, job title, level of education, etc.), which can help to improve the process of user’s interests identification. This information can typically represent a range of values representing only one user profile. Hence, the shared posts, the reactions on other posts and their circle of friends can help to reflect their interests. However, exploiting all this information through the analysis of user profiles can help to enhance user’s interests identification performances. In this paper, we propose a deep learning user’s profile analysis based approach that relies on users’ personal information and textual content for detecting user’s interests and preferences. We experimented our approach using a large Facebook dataset, and show how the deep learning approach perform significantly better than the classical algorithms such as SVM.en_US
dc.identifier.citationBesnkhelifa, Randa. Bouhyaoui, Nasria. Deep approach based on user’s profile analysis for capturing user’s interests. Forum of Artificial Intelligence and Its Applications. 24-26 Jan 2022. Faculty of Exat science. University of Eloued. [visited in ../../….]. available from [copy the link here]en_US
dc.identifier.urihttps://dspace.univ-eloued.dz/handle/123456789/10787
dc.language.isoenen_US
dc.publisherUniversity of Eloued جامعة الواديen_US
dc.subjectDeep learning, Personal information attributes, profiling, Text classification, Social text, Online Social Networks, User’s interests.en_US
dc.titleDeep approach based on user’s profile analysis for capturing user’s interestsen_US
dc.typeOtheren_US

Files

Original bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Deep approach based on user’s profile analysis for.pdf
Size:
807.63 KB
Format:
Adobe Portable Document Format
Description:
Forum Intervention of Artificial Intelligence and Its Applications. Faculty of Exat science. University of Eloued

License bundle

Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: