Abstract
Online museum information resource systems are getting popular these days which allow the users to get detailed information about the objects of their interest, and the user preferences are stored to search for related artifacts considering his/her online behavior. The behavior of users browsing online is integrated to capture relevant information which is integrated into museum information resources. Unfortunately, present implementations have errors in integration and optimization system, so a wireless network-based museum user behavior information integration system is proposed to calculate the user’s interest in museum’s cultural relics. The user behavior information resource model is developed based upon the degree of user interest, and forgetting functions with different decay rates are employed to describe changes in the interest level. This information is then used to construct users’ interest matrices. This matrix also contains information regarding the cultural relics that users have not yet visited. The system will introduce the interest weights of feature words to take the top features of the user behavior information for the integration of the users’ behavior and to combine the feature vectors that can represent the overall trajectory. Moreover, those feature vectors are described that can represent the local trajectory into feature vector to identify the slow-moving sparse targets, which is then utilized for the integration of users’ behavior information. The simulation tests prove that the proposed method can achieve low error in the integration process of user behavior information resources, thereby yielding good results.
Highlights
Online museum information resource systems are getting popular these days which allow the users to get detailed information about the objects of their interest, and the user preferences are stored to search for related artifacts considering his/her online behavior. e behavior of users browsing online is integrated to capture relevant information which is integrated into museum information resources
Present implementations have errors in integration and optimization system, so a wireless network-based museum user behavior information integration system is proposed to calculate the user’s interest in museum’s cultural relics. e user behavior information resource model is developed based upon the degree of user interest, and forgetting functions with different decay rates are employed to describe changes in the interest level. is information is used to construct users’ interest matrices. is matrix contains information regarding the cultural relics that users have not yet visited
Those feature vectors are described that can represent the local trajectory into feature vector to identify the slow-moving sparse targets, which is utilized for the integration of users’ behavior information. e simulation tests prove that the proposed method can achieve low error in the integration process of user behavior information resources, thereby yielding good results
Summary
Received 1 June 2021; Revised 1 July 2021; Accepted 2 July 2021; Published 10 July 2021. Present implementations have errors in integration and optimization system, so a wireless network-based museum user behavior information integration system is proposed to calculate the user’s interest in museum’s cultural relics. E LAM cloud service platform considers the basic framework and analyzes specific cases based upon linked data On this basis, the author proposed that when implementing the LAM digital resource, it is necessary to pay attention to the library user interaction mode, open licensing standards, maintenance of linked data, and conversion of existing data. Ese association rules are utilized to calculate the user’s preference value for a particular museum information resource and the cosine similarity measurement method is used to calculate the similarity between users’ interests, so as to realize the integration of user behavior information. Construction of the Museum User Behavior Information Resource Interest Model. e user’s interest in the keywords of a certain type of cultural relics in a museum is estimated by considering the time that the user takes in reading the
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