Search algorithms & popularity factors: link, social, click, blog, industry. Since modern search engines are concerned with popularity and not direct relevancy, & big firms up the price of text link buying beyond affordability...
Database offers on-the-fly results.
Declan Butler
A new Internet database lets users generate on-the-fly citation statistics of published research papers for free. The tool also calculates papers' impact factors using a new algorithm similar to PageRank, the algorithm Google uses to rank web pages. The open-access database is collaborating with Elsevier, the giant Amsterdam-based science publisher, and its underlying data come from Scopus, a subscription abstracts database created by Elsevier in 2004.
The SCImago Journal & Country Rank database was launched in December by SCImago, a data-mining and visualization group at the universities of Granada, Extremadura, Carlos III and Alcalá de Henares, all in Spain. It ranks journals and countries using such citation metrics as the popular, if controversial, Hirsch Index. It also includes a new metric: the SCImago Journal Rank (SJR).
The familiar impact factor created by industry leader Thomson Scientific, based in Philadelphia, Pennsylvania, is calculated as the average number of citations by the papers that each journal contains. The SJR also analyses the citation links between journals in a series of iterative cycles, in the same way as the Google PageRank algorithm. This means not all citations are considered equal; those coming from journals with higher SJRs are given more weight. The main difference between SJR and Google's PageRank is that SJR uses a citation window of three years. See Table 1
This site lists the pages in Wikipedia which are receiving the most edits per unique editor over various periods of time. Popular people in the news, the latest fads, and the hottest video games can be quic
Fakten, Fakten, Fakten. Hier also gleich vorweg das Ranking der bereinigten umsatzstärksten Österreichischen Unternehmen auf Facebook. Im Anschluss gehe ich dann auf die gewählten Paramter der Erhebung ein. Platz 1 Austrian Airlines 23 Punkte ==> zur FB Seite Platz 2...
What are your 10 favorite tools for your personal learning/working, or for creating learning for others?" We received lists of Top 10 Tools from 109 learning professionals. I
A very common workflow is to index some data based on its embeddings and then given a new query embedding retrieve the most similar examples with k-Nearest Neighbor search. For example, you can imagine embedding a large collection of papers by their abstracts and then given a new paper of interest retrieve the most similar papers to it.
TLDR in my experience it ~always works better to use an SVM instead of kNN, if you can afford the slight computational hit
Democracy was dealt a major blow in 2020. Almost 70% of countries covered by The Economist Intelligence Unit’s Democracy Index recorded a decline in their overall score, as country after country locked down to protect lives from a novel coronavirus. Find out more in our recent report.
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F. Abel, N. Henze, и D. Krause. CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining, стр. 1429--1430. New York, NY, USA, ACM, (2008)
F. Abel, N. Henze, и D. Krause. Proceedings of the 17th ACM Conference on Information and Knowledge Management, стр. 1429--1430. New York, NY, USA, ACM, (2008)
F. Abel, N. Henze, и D. Krause. Proceedings of the 17th ACM Conference on Information and Knowledge Management, стр. 1429--1430. New York, NY, USA, ACM, (2008)
F. Abel, N. Henze, и D. Krause. Proceeding of the 17th ACM conference on Information and knowledge management, стр. 1429--1430. New York, NY, USA, ACM, (2008)
F. Abel, N. Henze, и D. Krause. CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge mining, стр. 1429--1430. New York, NY, USA, ACM, (2008)
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