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Found 4 papers, 1 papers with code
Improving Arabic Text Categorization Using Transformer Training Diversification
Automatic categorization of short texts, such as news headlines and social media posts, has many applications ranging from content analysis to recommendation systems.
Random Silicon Sampling: Simulating Human Sub-Population Opinion Using a Large Language Model Based on Group-Level Demographic Information
Through random silicon sampling and using only group-level demographic information, we discovered that language models can generate response distributions that are remarkably similar to the actual U. S. public opinion polls.
Aggregate effects of advertising decisions: a complex systems look at search engine advertising via an experimental study
Originality: This is one of the first research works to explore collective group decisions and resulting phenomena in the complex context of search engine advertising via developing and validating a simulation framework that supports assessments of various advertising strategies and estimations of the impact of mechanisms on the search market.
Keyword Optimization in Sponsored Search Advertising: A Multi-Level Computational Framework
This paper proposes a multi-level and closed-form computational framework for keyword optimization (MKOF) to support various keyword decisions.
