Users' reading habits in online news portals

The aim of this study is to survey reading habits of users of an online news portal. The assumption motivating this study is that insight into the reading habits of users can be helpful to design better news recommendation systems. We estimated the transition probabilities that users who read an article of one news category will move to read an article of another (not necessarily distinct) news category. For this, we analyzed the users' click behavior within plista data set. Key findings are the popularity of category local, loyalty of readers to the same category, observing similar results when addressing enforced click streams, and the case that click behavior is highly influenced by the news category

News recommendation with CF-IDF+

Traditionally, content-based recommendation is performed using term occurrences, which are leveraged in the TF-IDF method. This method is the defacto s

語句間の意味構造に基づくニュース記事推薦システムの提案

近年，ユーザの行動やソーシャルメディア上での発言を興味関心として分析し，ニュース記事を推薦するキュレーションサービスが普及している．膨大な情報から自分で必要なものを探さなくても，自身の興味に沿った情報が手に入ることで利用者が増加している．既存のコンテンツベースの情報推薦システムに関する研究では記事推薦のために各語句を特徴としているが，頻出する語句を重要視しており語句間の関係を特徴として用いていない．本研究は，ユーザが興味関心を示す記事に表れる語句間の意味構造を用いることで，ユーザが面白いと感じることができるニュース記事を収集，推薦するシステムを提案する．本研究では面白いニュース記事をユーザが興味を示すことができ，意外な情報が得られるものと定義した．語句間の意味構造Linked Dataで表現する．同ニュース記事の同文脈に表れる複数の語句間の意味構造を文構造と定義する．ユーザが興味・関心を示す記事文の文構造の部分グラフを用いることでインターネット上のニュース記事を推薦する手法を提案する．本手法の有効性を確かめるため，20人の被験者に提案手法，ベースライン手法それぞれによるニュース記事推薦をして評価を得る比較実験を行った．ベースライン手法は単語の重要度を出現頻度から計算するtf-idfを用いた．提案手法によるニュース記事推薦での関連度の指標の平均値は4点満点中3.06，興味度は3.30，意外度は2.93という結果であった．ベースライン手法では関連度が3.22，興味度が3.03，意外度が2.79という結果であった．ベースライン手法との比較実験により，提案手法は推薦するニュース記事の関連度は下がるものの，ユーザが興味を持つことができ，また意外と感じることができるニュース記事推薦手法であることがわかった．これによりユーザに面白い記事を推薦できる手法として提案手法は有効であることが明らかになった．電気通信大学201

Knowledge-Based Techniques for Scholarly Data Access: Towards Automatic Curation

Accessing up-to-date and quality scientific literature is a critical preliminary step in any research activity. Identifying relevant scholarly literature for the extents of a given task or application is, however a complex and time consuming activity. Despite the large number of tools developed over the years to support scholars in their literature surveying activity, such as Google Scholar, Microsoft Academic search, and others, the best way to access quality papers remains asking a domain expert who is actively involved in the field and knows research trends and directions. State of the art systems, in fact, either do not allow exploratory search activity, such as identifying the active research directions within a given topic, or do not offer proactive features, such as content recommendation, which are both critical to researchers. To overcome these limitations, we strongly advocate a paradigm shift in the development of scholarly data access tools: moving from traditional information retrieval and filtering tools towards automated agents able to make sense of the textual content of published papers and therefore monitor the state of the art. Building such a system is however a complex task that implies tackling non trivial problems in the fields of Natural Language Processing, Big Data Analysis, User Modelling, and Information Filtering. In this work, we introduce the concept of Automatic Curator System and present its fundamental components.openDottorato di ricerca in InformaticaopenDe Nart, Dari

Semantic Knowledge Graphs for the News: A Review

ICT platforms for news production, distribution, and consumption must exploit the ever-growing availability of digital data. These data originate from different sources and in different formats; they arrive at different velocities and in different volumes. Semantic knowledge graphs (KGs) is an established technique for integrating such heterogeneous information. It is therefore well-aligned with the needs of news producers and distributors, and it is likely to become increasingly important for the news industry. This article reviews the research on using semantic knowledge graphs for production, distribution, and consumption of news. The purpose is to present an overview of the field; to investigate what it means; and to suggest opportunities and needs for further research and development.publishedVersio