[HTML][HTML] Regularizing deep networks with prior knowledge: A constraint-based approach
Deep Learning architectures can develop feature representations and classification models
in an integrated way during training. This joint learning process requires large networks with …
in an integrated way during training. This joint learning process requires large networks with …
Semantic social network analysis by cross-domain tensor factorization
Analyzing “what topics” a user discusses with others is important in social network analysis.
Since social relationships can be represented as multiobject relationships (eg, those …
Since social relationships can be represented as multiobject relationships (eg, those …
A two-phase method of QoS prediction for situated service recommendation
With the rapid growth of Web services, recommending suitable services to users has
become a big challenge. The existing service recommendation works by Quality of Service …
become a big challenge. The existing service recommendation works by Quality of Service …
Context relevancy assessment in tensor factorization-based recommender systems
VA Patil, DJ Jayaswal - 2020 3rd International Conference on …, 2020 - ieeexplore.ieee.org
Recommender systems (RSs) are modern data filtering tools aiming to generate
personalized recommendations using different approaches. The data sparsity problem …
personalized recommendations using different approaches. The data sparsity problem …
A novel embedding model for relation prediction in recommendation systems
It inevitably comes out information overload problem with the increasing available data on e-
commence websites. Most existing approaches have been proposed to recommend the …
commence websites. Most existing approaches have been proposed to recommend the …
セマンティクスを用いた複数テンソルの同時分解手法
中辻真 - 電子情報通信学会論文誌 D, 2022 - search.ieice.org
Web 上に整備されている大規模な知識ベースに存在するセマンティクスは, 個別のサービスに蓄積
されているユーザの行動ログの統合分析に活用できる. ユーザ行動は, 三つ以上のオブジェクトを …
されているユーザの行動ログの統合分析に活用できる. ユーザ行動は, 三つ以上のオブジェクトを …