Author | Wang Hao
Cultural studies is a humanities discipline that has been developed for hundreds of years. However, cultural studies have always been a research discipline that uses small-scale data due to limitations in data scale and geographical area. With the advent of the big data era, public data sets such as Internet user behavior data have become the latest gold mine in the field of humanities due to their large data volume and rich information. In 2022, researchers published an article introducing computational cultural research at the international academic conference MHEHD 2022, describing how to conduct cultural research through artificial intelligence algorithms.
This paper mainly analyzes the sociological effects of a zero-sample machine learning algorithm called ZeroMat. The ZeroMat algorithm is the first algorithm in the field of artificial intelligence that truly does not use any data for recommendation. As we all know, existing zero-shot learning algorithms are basically variations of transfer learning and meta-learning. And ZeroMat is the first algorithm that is different.
The ZeroMat algorithm assumes that the user item rating matrix obeys the following distribution:
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