Yazilim Gelistiricilere Ozel Graf Tabanli ve Kisisellestirilmis Icerik Tavsiye Sistemi

Elif Ak, Ayse Tosun

Araştırma sonucu: ???type-name???Konferans katkısıbilirkişi

1 Atıf (Scopus)

Özet

Informal learning through online resources like Stack Exchange is quite popular among the software developers to ask or seek a software-related content. Personalized content recommendation for software developers is still under-explored. With years of accumulation, Stack Exchange has collected thousand of questions and answers in many fields, particularly in software engineering. In this paper, we propose a recommendation system that extracts topics from Stack Exchange and considers the developer's topical navigation from browser search logs to recommend personalized content (i.e. Stack Exchange posts) to the developer. The results shows that our trained model predicts the topics with 92% accuracy, and it is found highly reliable and transparent in terms of recommendation.

Tercüme edilen katkı başlığıGraph-Based and Personalized Content Recommendations for Software Developers
Orijinal dilTürkçe
Ana bilgisayar yayını başlığı2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings
YayınlayanInstitute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)9781728172064
DOI'lar
Yayın durumuYayınlandı - 5 Eki 2020
Etkinlik28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey
Süre: 5 Eki 20207 Eki 2020

Yayın serisi

Adı2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???28th Signal Processing and Communications Applications Conference, SIU 2020
Ülke/BölgeTurkey
ŞehirGaziantep
Periyot5/10/207/10/20

Bibliyografik not

Publisher Copyright:
© 2020 IEEE.

Keywords

  • Stack Exchange
  • Word2Vec.
  • graph-based approach
  • personalized content recommendation

Parmak izi

Yazilim Gelistiricilere Ozel Graf Tabanli ve Kisisellestirilmis Icerik Tavsiye Sistemi' araştırma başlıklarına git. Birlikte benzersiz bir parmak izi oluştururlar.

Alıntı Yap