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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Enhanced Content-Based Similarity Detection for Book Recommendation

Recommendations is one of the main ways Kobo users discover content on the platform. By using purchase history, Kobo can suggest other books similar to a certain item. However, this does not provide meaningfulrecommendations in some cases, especially for bestsellers and fiction books. Currently, only for books that have no purchase history does Kobo supply […]

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Novel healthcare focused videoconferencing system and Congenital Anomaly detection using Deep Learning

m-Health Solutions specializes in remote patient monitoring and cardiac diagnostics. Using leading-edge technologies. m-Health Solutions (MHS) offers a range of services for clients of all ages and are a leader in remote healthcare. The Centre for Mobile Innovation (CMI) at Sheridan College has collaborated with MHS and is in the process of developing a healthcare […]

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Constructing New Statistical Approaches with CRM to Determining Membership Value to Customers: Evidence from CBA Data

The legal profession, like many professions within the global economy, is undergoing significant change with advances in innovation and technologies and as geo-political and economic shifts are underway. As the only association representing the legal profession across the country, but also active in the global economy through various initiatives including international projects supported by partners […]

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Project Yellow Cricket: Fantasy hockey data analysis and pattern recognition

Officepools.com is a flagship product of GSL Group, acquired in 1999. The site is an online fantasy sports platform offering various sporting and entertainment events to choose from, such as football and golf, but primarily specializing in the National Hockey League (NHL). Officepools.com has a userbase of around six hundred and fifty thousand people, with […]

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