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Google Embraces The Cocktail Lifestyle With New Search Feature - Vimarsana News

Google Embraces The Cocktail Lifestyle With New Search Feature

A new search function recently unveiled by the leading Internet search engine company lets you easily look up basic recipes for popular cocktails.

PerformanceG2 to Present at WWDVC 2023 - Agile Building of Information Marts Using Data Vault 2.0 - Vimarsana News

PerformanceG2 to Present at WWDVC 2023 - Agile Building of Information Marts Using Data Vault 2.0

Learn Various Techniques and Approaches to Designing, Building and Populating the Necessary Semantic Information Model with PerformanceG2’s Bruce McCartney

A.I.-Guided Strategies for the ETF Investor. Here's What to Know. - Vimarsana News

A.I.-Guided Strategies for the ETF Investor. Here's What to Know.

As investors weigh what the buzz in artificial intelligence means in the market, one analyst advises caution in utilizing the tool for strategy selection.  

YouLianCloud Officially Accesses Baidu ERNIE Bot, Driving the Development of Financial AIGC - Vimarsana News

YouLianCloud Officially Accesses Baidu ERNIE Bot, Driving the Development of Financial AIGC

/PRNewswire/ -- On February 14, 2023, YouLianCloud announced to be the first batch of early experience officers of ERNIE Bot. Subsequently, YouLianCloud will...

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"A Knowledge Graph-based Interactive Recommender System Using Reinforce" by Ruoxi Sun, Jun Yan et al. - Vimarsana News

"A Knowledge Graph-based Interactive Recommender System Using Reinforce" by Ruoxi Sun, Jun Yan et al.

To achieve the personalisation recommendation, modem recommendation models should consider the user's preference for item attributes and dynamic changes in preferences. 1RS has attracted attention to dealing with dynamic user preferences. However, current 1RS models share a common issue of sparse user-interaction data for training an effective recommendation policy. In this paper, we propose a knowledge graph-based interactive recommender system (KGIRS) to improve the recommendation by considering the users' dynamic preference for item attributes' weight. This interactive recomm...

Source: uow.edu.au