新編塵劫記

全三編。波多野重太郎（巌松堂）経由本刊年不

ラベル伝搬によるトレンドクエリのカテゴリ推定

Query classification is an important technique for web search engines, allowing them to improve users\u27 search experience. Specifically, query classification methods classify queries according to topical categories, such as celebrities and sports. Such category information is effective in improving web search results, online advertisements, and so on. Unlike previous studies, our research focuses on trend queries that have suddenly become popular and are extensively searched. Our aim is to classify such trend queries in a timely manner, i.e., classify the queries on the same day when they become popular, in order to provide a better search experience. To reduce the expensive manual annotation costs to train supervised learning methods, we focus on a label propagation method that belongs to the semi-supervised learning family. Specifically, the proposed method is based on our previous method that constructs a graph using a corpus, and propagates a small number of ground-truth categories of labeled queries in order to estimate the categories of unlabeled queries. We extend this method to cut ineffective edges to improve both classification accuracy and computational efficiency. Furthermore, we investigate in detail the effects of different corpora, i.e., web/blog/news search results, Tweets, and news pages, on the trend query classification task. Our experiments replicate the situation of an emerging trend query; the results show that web search results are the most effective for trend query classification, achieving a 50.1% F-score, which significantly outperforms the state-of-the-art method by 7.2 points. These results provide useful insights into selecting an appropriate dataset for query classification from the various types of data available

検索頻度推定のためのWikipediaページビューデータの分析

ウェブ検索エンジンに入力されるクエリの検索頻度は人々の興味関心を反映しており，流行の分析などに有用なデータである。しかし，その検索頻度データを検索エンジン事業者以外が利用することは困難である。そこで本論文では，検索結果の上位に表示される傾向のあるWikipediaのページビューデータを用いれば検索頻度を推定できると仮定し，その推定可能性を検証する。The frequency of a web search query generally reflects the degree of people\u27s interest in the subject matter. Search logs are therefore a useful resource for trend analysis. However, accessing search logs is typically restricted to search engine providers. In this paper, we investigate whether search frequency can be estimated from another resource, namely, Wikipedia page view of open data. As a result, frequently searched queries revealed remarkably high correlations against Wikipedia page view. This fact suggests that Wikipedia page view is effective for understanding popular web search trends happening around the world

<実践記録> 学生相談室の活動経過と今後の課題（2）

A student counseling room was established in university A ten years ago and activities first　reported in 2008. This paper reports the recent activities of the student counseling room. Compared　to when it first opened, student counseling systems has become more organized. Nowadays showed　national average in comparison with the statistical document. Systematic cooperation has begun to　well organized in recent years, allowing for more effective and efficient support. In addition, a trial　programme of lectures and a lifestyle orientation targeting new students has begun. These will be　reviewed in future literature since at present there is not enough information to assess the　programmes

<実践研究> ある大学における学生相談室の活動経過と今後の課題

This university\u27s student counseling room opened in 2002. Thereafter, activities towards the expansion of student assistance were gradually conducted, such as the increasing of the number of staff members and the days the center is opened. This paper summaries the circumstances of the past 6 years of activities and attempts to examine the future challenges of the student counseling center, as well as what the necessary student assistance is for this university