How well they retrieve fresh news items: News search engine perspective

Relating RSS News/Items

Merging related RSS news (coming from one or different sources) is beneficial for end-users with different backgrounds (journalists, economists, etc.), particularly those accessing similar information. In this paper, we provide a practical approach to both: measure the relatedness, and identify relationships between RSS elements. Our approach is based on the concepts of semantic neighborhood an...

Fresh and good news.

Filtering for Medical News Items

In this paper we describe recent work to provide a filtering service for readers interested in medically related news articles from online news sources. The first task is to filter out the nonmedical news articles. The remaining articles, the medically related ones, are then assigned MeSH headings for context and then categorized further by intended audience level (medical expert, medically kno...

Combining Collaborative Filtering and Search Engine into Hybrid News Recommendations

GroupLens used collaborative filtering to generate recommendations for Usenet news and was evaluated by a public trial with users from over a dozen newsgroups. This research identified some important challenges involved in creating a news recommender system. SCENE [15] is such a news service. It stands for a SCal-able two-stage pErsonalized News rEcommendation system. The system considers chara...

Good News vs. Bad News: What are they talking about?

Today’s massive news streams demand the automate analysis which is provided by various online news explorers. However, most of them do not provide sentiment analysis. The main problem of sentiment analysis of news is the differences between the writers and readers attitudes to the news text. News can be good or bad but have to be delivered in neutral words as pure facts. Although there are appl...