Gil2007towards question 1 by lebo
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CSCI 6966 Advanced Semantic Web (Fall 2008)
- syllabus, announcements, presentations
- Lesson 1, Lesson 2, Lesson 3, Lesson 4, Lesson 5, Lesson 6,
- Lesson 7, Lesson 8, Lesson 9, Lesson 10, Lesson 11, Lesson 12, Lesson 13
A Question from Tim Lebo about Gil2007towards:
The results of the simulation compare the Mean Squared Error, k-sum, and Edit Distance to a 'baseline', which is "a ... search engine ... that ranks search results by topic and popularity, ... without taking trust into account." A lot of assumptions are made to model the trust users have for associations and resources, and the simulation used 1,000 queries generated from 1,000 generated resources, 10,000 generated associations, and 1,000 generated users.
- Although the paper is trying to compare their trust-based ordering against 'traditional' search engines, are they not just comparing their technique to random performance instead?
- Answer:
Facts about Gil2007towards question 1 by leboRDF feed
| A | Question + |
| About | Gil2007towards + |
| Author | Tim Lebo + |
| Question asked | The results of the simulation compare the … The results of the simulation compare the Mean Squared Error, k-sum, and Edit Distance to a 'baseline', which is "a ... search engine ... that ranks search results by topic and popularity, ... without taking trust into account." A lot of assumptions are made to model the trust users have for associations and resources, and the simulation used 1,000 queries generated from 1,000 generated resources, 10,000 generated associations, and 1,000 generated users.
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| Question asked by | Tim Lebo + |
| Question for the Presentation | Journal XixiLuo + |
| Text | The results of the simulation compare the … The results of the simulation compare the Mean Squared Error, k-sum, and Edit Distance to a 'baseline', which is "a ... search engine ... that ranks search results by topic and popularity, ... without taking trust into account." A lot of assumptions are made to model the trust users have for associations and resources, and the simulation used 1,000 queries generated from 1,000 generated resources, 10,000 generated associations, and 1,000 generated users.
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