Theoretically, by analyzing a person's borrowing history in the library system, we can indeed get some clues about their interests and hobbies. Generally speaking, the types of books a person borrows, the frequency, and the number of books in a specific field may reflect that they have a certain interest in that field. However, this method has pertinent advantages and disadvantages, and the following points should be noted: 1. Data accuracy and comprehensiveness: Reading history alone may not fully reflect a person's interests. Many times people may borrow certain books for academic, work, research or task needs, rather than pure interests and hobbies. For example, someone may borrow a book on statistics because of work needs, which does not necessarily mean that he is particularly keen on statistics. 2. Data classification and analysis methods: If detailed borrowing record data (such as the subject classification of books, borrowing date, borrowing frequency, etc.) can be obtained, data mining, cluster analysis, topic modeling and other methods can be used to extract borrowing patterns and interest areas. However, it should be noted that the classification standards of books and the format of borrowing records will also affect the analysis results, so it is also very important to design the classification model properly. 3. Privacy and legality issues: In-depth analysis of personal borrowing records may touch upon privacy issues. In many countries and regions, personal borrowing records may be protected by law, and the use of these data for analysis requires authorization and anonymization. Without the consent of the borrower or legal authorization, such analysis may violate privacy and pose legal risks. 4. Limitations of interpretation: Even if borrowing records are carefully analyzed, they can only reflect part of the "interest signals" and cannot fully portray a person's interests. Everyone's interests and hobbies are diverse and dynamically changing, and a single data source may be biased. In summary, technically, it is possible to find some interest directions through library borrowing records, but how to interpret these data scientifically, legally, and carefully is a task that has both technical challenges and ethical risks. In practice, if other data sources can be combined and on the premise of ensuring user privacy and legal use, a person's interests and hobbies can be more accurately inferred.