Creating a web page recommendation system for Haystack
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003.
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| Format: | Thesis |
| Language: | en_US |
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Massachusetts Institute of Technology
2005
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| Online Access: | http://hdl.handle.net/1721.1/28472 |
| _version_ | 1826193256294121472 |
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| author | Derryberry, Jonathan C. (Jonathan Carlyle), 1979- |
| author2 | David Karger. |
| author_facet | David Karger. Derryberry, Jonathan C. (Jonathan Carlyle), 1979- |
| author_sort | Derryberry, Jonathan C. (Jonathan Carlyle), 1979- |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. |
| first_indexed | 2024-09-23T09:36:27Z |
| format | Thesis |
| id | mit-1721.1/28472 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T09:36:27Z |
| publishDate | 2005 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/284722019-04-12T16:03:37Z Creating a web page recommendation system for Haystack Derryberry, Jonathan C. (Jonathan Carlyle), 1979- David Karger. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2003. Includes bibliographical references (p. 105). The driving goal of this thesis was to create a web page recommendation system for Haystack, capable of tracking a user's browsing behavior and suggesting new, interesting web pages to read based on the past behavior. However, during the course of this thesis, 3 salient subgoals were met. First, Haystack's learning framework was unified so that, for example, different types of binary classifiers could be used with black box access under a single interface, regardless of whether they were text learning algorithms or image classifiers. Second, a tree learning module, capable of using hierarchical descriptions of objects and their labels to classify new objects, was designed and implemented. Third, Haystack's learning framework and existing user history faculties were leveraged to create a web page recommendation system that uses the history of a user's visits to web pages to produce recommendations of unvisited links from user-specified web pages. Testing of the recommendation system suggests that using tree learners with both the URL and tabular location of a web page's link as taxonomic descriptions yields a recommender that significantly outperforms traditional, text-based systems. by Jonathan C. Derryberry. M.Eng. 2005-09-26T20:38:46Z 2005-09-26T20:38:46Z 2003 2003 Thesis http://hdl.handle.net/1721.1/28472 57136526 en_US M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 105 p. 4633183 bytes 4645518 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Derryberry, Jonathan C. (Jonathan Carlyle), 1979- Creating a web page recommendation system for Haystack |
| title | Creating a web page recommendation system for Haystack |
| title_full | Creating a web page recommendation system for Haystack |
| title_fullStr | Creating a web page recommendation system for Haystack |
| title_full_unstemmed | Creating a web page recommendation system for Haystack |
| title_short | Creating a web page recommendation system for Haystack |
| title_sort | creating a web page recommendation system for haystack |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/28472 |
| work_keys_str_mv | AT derryberryjonathancjonathancarlyle1979 creatingawebpagerecommendationsystemforhaystack |