论文标题
探索将社交媒体趋势注入NFT建议的可能性
Exploration of the possibility of infusing Social Media Trends into generating NFT Recommendations
论文作者
论文摘要
建议系统被确定为在电子商务网站推动销售的组成部分之一。从趋势中提取的意见挖掘数据的利用已尝试改善本研究中基线方法可以提供的建议，而当用户单击数据缺乏或由于隐私问题而难以收集。 通过使用建议的评分机制，已经探索了利用社会趋势来影响针对一组独特项目产生的建议。在接下来的几十年中，采用分散网络的概念会改变用户通过互联网进行交互的方式，建议的建议系统尝试利用多个信息来源，应用一致的信息检索技术来提取可能的趋势项目。 研究中提出的建议体系结构提出了一种将社会趋势与提出有希望产出的建议融入社会趋势的方法。
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 by baseline methods in this research when user-click data is lacking or is difficult to be collected due to privacy concerns. Utilizing social trends to influence the recommendations generated for a set of unique items has been explored with the use of a suggested scoring mechanism. Embracing concepts from decentralized networks that are expected to change how users interact via the internet over the next couple of decades, the suggested Recommendations System attempts to make use of multiple sources of information, applying coherent information retrieval techniques to extract probable trending items. The proposed Recommendations Architecture in the research presents a method to integrate social trends with recommendations to produce promising outputs.
