Learning to Rank through User Interest Mining: Towards Search Personalization

In online shopping, search results often have inherent ambiguity. Two customers using the same term as search query might have completely different expectations of the displayed results. For example, when the users type in the query “headphone”, some of them might expect over-ear headphone with passive noise isolation, while others might expect in-ear headphone with […]

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Applications of Quantum Monte Carlo Sampling

In today’s quantum computing environment, access to all major hardware providers is entirely cloud-based. As a result, large enterprises and other privacy-sensitive users are limited in their ability to experiment with quantum computers. Many have simply chosen to forego experimentation with quantum computers altogether. A careful application of recent research is vital to address this […]

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iStandardize: Recommendations for Healthcare Form Standardiz

iStandardize is an AI-powered machine learning solution that is designed to streamline the standardization of clinical order sets (i.e., forms) by using machine learning and natural language processing techniques. Currently, hospital networks use multiple versions of forms and order sets, many of them are similar in nature. The lack of standardization poses a challenge in […]

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Multilingual B2B Supplier Detection and Information Extraction

At Tealbook, we search the web to make the world’s business-to-business supplier websites readily accessible. We extract important sentences and keywords to create a searchable database that buyers can then use to find the right supplier for their needs. But right now, we are limited to servicing English-language organizations. Can we expand our services to […]

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Designing ‘Zero credit touch’ (ZCT) pre-approved credit underwriting program for retail customers

ICICI Bank has developed various ‘Zero credit touch’ (ZCT) strategies where without any credit intervention and additional information taken from customers, credit facilities can be provided. But there are several challenges in the expansion of ZCT strategies, namely, (i) current credit models which are a combination of business rules, scorecards and machine learning models, do […]

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Learning Discussion Thread Representations to Empower Conten-based Recommendation

VerticalScope is a company that owns online forums in many domains, such as automotive, health, technology, and powersports. VerticalScope uses a content based recommender system to mitigate the cold start problem, where a large portion of traffic on the forums are made by unregistered users. The goal of this project is to learn representations of […]

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Novel Perovskite Nanoparticle Water Quality Sensor

The proposed research aims to manufacture smart water sensors for real-time monitoring of Canadian watersheds’ quality. The need for clean water is constant for communities across Canada. With growing concerns related to organic pollutants entering the water supply, the treatment of drinking water and water systems, and their health effects a need has been sown. […]

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Wearable Continuous Health Monitoring Device Capable of Early Detection of COVID-19 in Patients and Tracking Their Health Condition

Continuous monitoring of respiratory rate, blood oxygen level and body temperature is vital for early detection of COVID-19 among patients and monitoring their health condition. Early detection of COVID-19 is crucial for successful treatment of this deadly disease. Unfortunately, most of the COVID-19 patients do not indicate any serious symptom such as breathing problem in […]

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Optimizing the use of recycled treated fines in eco-efficient concrete mixtures

Concrete is a major construction material used worldwide responsible for the production of roughly 7% of total global carbon dioxide emissions. The extent of its environmental impact relates to the energy embodied in extraction and transportation of concrete aggregates with a direct link to the amount of Portland cement (PC) used to bind the raw […]

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Asset Information Modelling for Non-Urban Environments (AIM-NUE)

In 2016, in partnership with The Ontario East Economic Development Commission (OEED), we started exploring the potential of AIM to represent and manage multi-dimensional graphic and semantic assets related to a geospatially large (40,000+km2), non-urban environment in Eastern Ontario. The area under study is comprised primarily of what Statistics Canada identifies as “rural and small […]

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