Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Poravi Guhanathan"'
Publikováno v:
Applied Computer Systems, Vol 26, Iss 2, Pp 96-106 (2021)
In recent years, various domains have been influenced by the rapid growth of machine learning. Autonomous driving is an area that has tremendously developed in parallel with the advancement of machine learning. In autonomous vehicles, various machine
Externí odkaz:
https://doaj.org/article/d44576f5d02647a6826626e42efe0749
Recommendations Systems have been identified to be one of the integral elements of driving sales in e-commerce sites. The utilization of opinion mining data extracted from trends has been attempted to improve the recommendations that can be provided
Externí odkaz:
http://arxiv.org/abs/2205.11229
Recommendations Systems allow users to identify trending items among a community while being timely and relevant to the user's expectations. When the purpose of various Recommendation Systems differs, the required type of recommendations also differs
Externí odkaz:
http://arxiv.org/abs/2205.01802
Autor:
Piyadigama, Dinuka, Poravi, Guhanathan
This research explores the methods that NFTs can be recommended to people who interact with NFT-marketplaces to explore NFTs of preference and similarity to what they have been searching for. While exploring past methods that can be adopted for recom
Externí odkaz:
http://arxiv.org/abs/2205.00456