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Improving E-Commerce Product Recommendation Using Semantic Context And Sequential Historical Purchases, Mahreen Nasir, C. I. Ezeife, Abdulrauf Gidado Dec 2021

Improving E-Commerce Product Recommendation Using Semantic Context And Sequential Historical Purchases, Mahreen Nasir, C. I. Ezeife, Abdulrauf Gidado

Computer Science Publications

Collaborative Filtering (CF)-based recommendation methods suffer from (i) sparsity (have low user–item interactions) and (ii) cold start (an item cannot be recommended if no ratings exist). Systems using clustering and pattern mining (frequent and sequential) with similarity measures between clicks and purchases for next-item recommendation cannot perform well when the matrix is sparse, due to rapid increase in number of items. Additionally, they suffer from: (i) lack of personalization: patterns are not targeted for a specific customer and (ii) lack of semantics among recommended items: they can only recommend items that exist as a result of a matching rule generated …


Emerging Challenges In Smart Grid Cybersecurity Enhancement: A Review, Fazel Mohammadi Mar 2021

Emerging Challenges In Smart Grid Cybersecurity Enhancement: A Review, Fazel Mohammadi

Electrical and Computer Engineering Publications

In this paper, a brief survey of measurable factors affecting the adoption of cybersecurity enhancement methods in the smart grid is provided. From a practical point of view, it is a key point to determine to what degree the cyber resilience of power systems can be improved using cost-effective resilience enhancement methods. Numerous attempts have been made to the vital resilience of the smart grid against cyber-attacks. The recently proposed cybersecurity methods are considered in this paper, and their accuracies, computational time, and robustness against external factors in detecting and identifying False Data Injection (FDI) attacks are evaluated. There is …


A Modern Copyright Framework For The Internet Of Things (Iot): Intellectual Property Scholars' Joint Submission To The Canadian Government Consultation, Pascale Chapdelaine, Anthony D. Rosborough, Aaron Perzanowski, Bita Amani, Sara Bannerman, Carys J. Craig, Lucie Guibault, Cameron J. Hutchison, Ariel Katz, Alexandra Mogyoros, Graham J. Reynolds, Teresa Scassa, Myra Tawfik Jan 2021

A Modern Copyright Framework For The Internet Of Things (Iot): Intellectual Property Scholars' Joint Submission To The Canadian Government Consultation, Pascale Chapdelaine, Anthony D. Rosborough, Aaron Perzanowski, Bita Amani, Sara Bannerman, Carys J. Craig, Lucie Guibault, Cameron J. Hutchison, Ariel Katz, Alexandra Mogyoros, Graham J. Reynolds, Teresa Scassa, Myra Tawfik

Law Publications

In response to the Canadian government consultation process on the modernization of the copyright framework launched in the summer 2021, we hereby present our analysis and recommendations concerning the interaction between copyright and the Internet of Things (IoT). The recommendations herein reflect the shared opinion of the intellectual property scholars who are signatories to this brief. They are informed by many combined decades of study, teaching, and practice in Canadian, US, and international intellectual property law.

In what follows, we explain:

•The importance of approaching the questions raised in the consultation with a firm commitment to maintaining the appropriate balance …