Addressing cold start in recommender systems with neural networks: a literature survey
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 …
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
Knowing driving factors and understanding researcher behaviors from the dynamics of
collaborations over time offer some insights, ie help funding agencies in designing research …
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 …
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 …
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.
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 …
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
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 …
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 …
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
Recommendation of active or productive experts is indispensable in supporting
collaborations. Activities of publication and citation indicate expert productivity. An expert …
collaborations. Activities of publication and citation indicate expert productivity. An expert …
Cross-Domain Topic Learning Berbasis Frase untuk Pemodelan Topik pada Rekomendasi Kolaborasi Penelitian
Rekomendasi kolaborasi penelitian antardomain dapat diperoleh melalui dokumen
publikasi ilmiah seperti judul, abstrak, dan bibliografi. Oleh karena itu, proses ekstraksi topik …
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 …
artikel ilmiah peneliti, contohnya judul, abstrak, dan kata kunci sehingga menghasilkan …