Many user recommendation systems in Twitter mainly focus on prediction accuracy, making recommendations based on users' profiles. However, such recommendations tend to stay within the scope of the users' existing interests. Consequently, it becomes difficult to introduce new discoveries or surprises, which makes it challenging to improve users' satisfaction. To solve this problem, we propose a method to recommend serendipitous users for Twitter by consider unexpected and useful interests. The effectiveness of the recommender system was evaluated by comparing it with existing methods. The results showed that our proposed method recommended more useful users, as well as recommending more serendipitous users to experimental participants in some cases.

This paper describes the current status and issues regarding international information technology standards closely related to Japanese cultural resources. There are a variety of international technical standards related to cultural resources． Still, while those that cover a wide range of fields can involve many stakeholders, the more specialized they are, the more specialized they become, and the more limited the number of people involved. In this situation, we are discussing Japan's involvement in international standards for handling Japanese cultural resources, taking Unicode for encoding characters, TEI Guidelines for encoding texts, and IIIF for interoperability of Web images as examples.

　In recent years，there have been many mentions of academic information on social networking services (SNS)，and thereさ is a movement to use mentions to evaluate academic information．However，few studies have analyzed the extent to which these postings have spread．The purpose of this study is to clarify the aspect of academic communication on SNS by analyzing the degree of spillover of mentions on Twitter ，the COVID-19 related article that may include many non-researchers as mentioned users．As a result，we found that mentions of the target article spread widely．One of the possible reasons for this is that the strength of the social interest in the topic may be related．However，it is difficult to say that a high-profile topic will have a widespread，since the degree of the spread varied from one reference to another．In other words，it is difficult to say that the simple count of the number of mentions on SNS directly indicates the level of social interest in the article，and we need to be careful in evaluating academic information by using the number of mentions on SNS.

　This article reviews my activities as Director of the Akita International University Library from April 2016 to March 2022. The first half is from AY2016 to AY2019, and the second half is from AY2020 to AY2021. In the first half, I will describe my activities, focusing on the Library Management Plan and the Hybrid Library System. The second half will focus on the impact of the new coronavirus infection (Covid-19) on library services.