Addressing cold start in recommender systems with neural networks: a literature survey

F Berisha, E Bytyçi - International Journal of Computers and …, 2023 - Taylor & Francis
Filtering information on the Internet and recommending the right choices is more than
important for Internet users and various businesses that offer products and services …

Identifying collaboration dynamics of bipartite author-topic networks with the influences of interest changes

D Purwitasari, C Fatichah, S Sumpeno, C Steglich… - Scientometrics, 2020 - Springer
Knowing driving factors and understanding researcher behaviors from the dynamics of
collaborations over time offer some insights, ie help funding agencies in designing research …

Expanding and evolving an innovation concentration

KD Schubert, LB Massey, AE Ellstrand - 2019 ASEE Annual …, 2019 - peer.asee.org
A recent report published by the---Foundation documented the importance of innovation to
the US economy and the critical relationship between innovation, university research and …

Conflict of interest based features for expert classification in bibliographic network

D Purwitasari, AB Ilmi, C Fatichah… - 2018 International …, 2018 - ieeexplore.ieee.org
Countless approaches of feature extraction in the expert classification problem employ text
contents and network structures from bibliographic metadata of published articles. The …

[PDF][PDF] Text Generation with Content and Structure-Based Preprocessing in Imbalanced Data of Product Review.

AA Zaqiyah, D Purwitasari, C Fatichah - International Journal of Intelligent …, 2021 - inass.org
Spam detection frequently categorizes product reviews as spam and non-spam. The spam
reviews may contain texts of fake reviews and non-review statements describing unrelated …

Productivity-based Features from Article Metadata for Fuzzy Rules to Classify Academic Expert

D Purwitasari, C Fatichah, AG Sooai… - 2019 IEEE 10th …, 2019 - ieeexplore.ieee.org
Since modeling expertise is necessary in an expert recommendation system, this paper
addressed the issue to obtain researcher expertise in the academic field on certain topic …

Interinstitutional Research Team Formation Based on Bibliographic Network Embedding

OJ Lee, S Hong, JT Kim - Mobile Information Systems, 2021 - Wiley Online Library
This study aims at forming research teams for interinstitutional collaborations. Research
institutes have their own purposes and topics of interest. Thus, supporting joint research …

Ekstraksi Ciri Produktivitas Dinamis untuk Prediksi Topik Pakar dengan Model Discrete Choice

D Purwitasari, C Fatichah, S Sumpeno… - … Teknik Elektro Dan …, 2018 - journal.ugm.ac.id
Recommendation of active or productive experts is indispensable in supporting
collaborations. Activities of publication and citation indicate expert productivity. An expert …

Cross-Domain Topic Learning Berbasis Frase untuk Pemodelan Topik pada Rekomendasi Kolaborasi Penelitian

V Zuraida, D Purwitasari, C Fatichah - INTEGER: Journal of …, 2018 - ejurnal.itats.ac.id
Rekomendasi kolaborasi penelitian antardomain dapat diperoleh melalui dokumen
publikasi ilmiah seperti judul, abstrak, dan bibliografi. Oleh karena itu, proses ekstraksi topik …

[PDF][PDF] Ekstraksi Fitur Produktivitas Dinamis berdasarkan Topik Artikel Ilmiah untuk Klasterisasi Peneliti.

A Haniefardy, D Purwitasari, C Fatichah - Techno. com, 2021 - core.ac.uk
Pengelompokkan peneliti seringkali menggunakan informasi tekstual yang terdapat pada
artikel ilmiah peneliti, contohnya judul, abstrak, dan kata kunci sehingga menghasilkan …