The goal of all search engines is to attain the most relevant responses as quickly as possible. When search engines calculate their search results, they are steered by an algorithm that assigns higher or lower values to features of Web pages. The most common search engines on the Net, such as Google, generate a gigantic single ranking based on a search of all pages available on the Net.
The algorithm that Ola Ågren has developed ranks pages, instead, on the basis of each relevant starting page, and includes pages that are directly or indirectly linked to by the starting page. Then a normalised mean value of the relevance of the various pages is calculated. A page that has links to it from several different pages is therefore assigned a higher value than those that are found only once. In this way it is faster to find pages of interest. For ordinary standard algorithms it takes more than seven days to go through and rank Web pages in a certain database. Using his algorithm, Ola Ågren has managed to do this in 158 seconds.
What's more, his algorithm has proven to yield the most relevant responses. He studied the relevance of hits in the top ten lists for three different algorithms: the one he developed and two variants of PageRank, the algorithm used by Google. He examined a total of 100 different expressions for all Nordic languages and English, including the expression master of engineering science (civlingeniör in Swedish). The top ten lists always had some form of overlapping between the different algorithms, but they were never completely identical. Users were then asked to judge the relevance of the various hits, without knowing which search engines had generated the alternative responses.
"The users in the study found that the search engine I developed is better than the others in more than 60 percent of cases," says Ola Ågren.
Besides search engines, the dissertation is also about methods for finding structures in huge masses of information, such as keywords and methods for extracting free text, such as parts of the documentation from the source code.
Dissertation title: Finding, Extracting and Exploiting Structure in Text and Hypertext.
For further information, please contact: Ola Ågren, Department of Computing Science; Cell phone: +46 (0)730-283852; E-mail: firstname.lastname@example.org
Pressofficer Karin Wikman, email@example.com or +46-70 6100805
Karin Wikman | idw
Robots as Tools and Partners in Rehabilitation
17.08.2018 | Albert-Ludwigs-Universität Freiburg im Breisgau
Low bandwidth? Use more colors at once
17.08.2018 | Purdue University
New design tool automatically creates nanostructure 3D-print templates for user-given colors
Scientists present work at prestigious SIGGRAPH conference
Most of the objects we see are colored by pigments, but using pigments has disadvantages: such colors can fade, industrial pigments are often toxic, and...
Scientists at the University of California, Los Angeles present new research on a curious cosmic phenomenon known as "whistlers" -- very low frequency packets...
Scientists develop first tool to use machine learning methods to compute flow around interactively designable 3D objects. Tool will be presented at this year’s prestigious SIGGRAPH conference.
When engineers or designers want to test the aerodynamic properties of the newly designed shape of a car, airplane, or other object, they would normally model...
Researchers from TU Graz and their industry partners have unveiled a world first: the prototype of a robot-controlled, high-speed combined charging system (CCS) for electric vehicles that enables series charging of cars in various parking positions.
Global demand for electric vehicles is forecast to rise sharply: by 2025, the number of new vehicle registrations is expected to reach 25 million per year....
Proteins must be folded correctly to fulfill their molecular functions in cells. Molecular assistants called chaperones help proteins exploit their inbuilt folding potential and reach the correct three-dimensional structure. Researchers at the Max Planck Institute of Biochemistry (MPIB) have demonstrated that actin, the most abundant protein in higher developed cells, does not have the inbuilt potential to fold and instead requires special assistance to fold into its active state. The chaperone TRiC uses a previously undescribed mechanism to perform actin folding. The study was recently published in the journal Cell.
Actin is the most abundant protein in highly developed cells and has diverse functions in processes like cell stabilization, cell division and muscle...
17.08.2018 | Event News
08.08.2018 | Event News
27.07.2018 | Event News
17.08.2018 | Physics and Astronomy
17.08.2018 | Information Technology
17.08.2018 | Life Sciences