Concept
Larry Page
Related publications (5)
Information Retrieval Under Network Uncertainty: Robust Internet Ranking
Ralf Seifert, Anna Timonina-Farkas
Internet ranking algorithms play a crucial role in information technologies and numerical analysis due to their efficiency in high dimensions and wide range of possible applications, including scientometrics and systemic risk in finance (SinkRank, DebtRank ...
INFORMS2022Valuation, Recognition, and Signaling in the Digital Public Sphere: the TED Talk Ranking Ecosystem
Gianluigi Viscusi, Heidi Christina Gautschi
In the past few years a new actor, who is playing an increasingly important role in ranking ideas and the scholars who share them, has emerged: the TED organization. While debate has surrounded popular academic research output rankings such as, impact fact ...
Springer2017Purely URL-based Topic Classification
Monika Henzinger, Ingmar Weber, Eda Baykan, Ludmila Marian
Given only the URL of a web page, can we identify its topic? This is the question that we examine in this paper. Usually, web pages are classified using their content, but a URL-only classifier is preferable, (i) when speed is crucial, (ii) to enable conte ...
2009trEST, trGEN and Hits: access to databases of predicted protein sequences
High throughput genome (HTG) and expressed sequence tag (EST) sequences are currently the most abundant nucleotide sequence classes in the public database. The large volume, high degree of fragmentation and lack of gene structure annotations prevent effici ...
2001Finding related pages in the World Wide Web
When using traditional search engines, users have to formulate queries to describe their information need. This paper discusses a different approach to Web searching where the input to the search process is not a set of query terms, but instead is the URL ...
1999