| 19291 |
Creator |
042299abcac54fe25a1be6bf1dc3c949 |
| 19291 |
Creator |
2482a533b100c51b082644502f2b86e0 |
| 19291 |
Creator |
84bddd3a4b315469c22c89b9958ac6b1 |
| 19291 |
Creator |
6da702660ddd17a9ddabc965f545e083 |
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Date |
2004 |
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Is Part Of |
p03029743 |
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Is Part Of |
repository |
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abstract |
In Information Filtering (IF) a user may be interested in several topics in parallel.
But IF systems have been built on representational models derived from Information
Retrieval and Text Categorization, which assume independence between terms. The linearity
of these models results in user profiles that can only represent one topic of interest.
We present a methodology that takes into account term dependencies to construct a
single profile representation for multiple topics, in the form of a hierarchical term
network. We also introduce a series of non-linear functions for evaluating documents
against the profile. Initial experiments produced positive results. |
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authorList |
authors |
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editorList |
editors |
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issue |
2004 |
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presentedAt |
ext-2630ccf76d7033b05ea106f9b0d8627d |
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status |
peerReviewed |
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volume |
3025 |
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type |
AcademicArticle |
| 19291 |
type |
Article |
| 19291 |
label |
Nanas, Nikolaos ; Uren, Victoria ; De Roeck, Anne and Domingue, John (2004). Multi-topic
information filtering with a single user profile. In: Methods and Applications of
Artificial Intelligence (Vouros, George A. and Panayiotopoulos, Themistoklis eds.),
Lecture Notes in Computer Science, Springer, Berlin, pp. 400–409. |
| 19291 |
label |
Nanas, Nikolaos ; Uren, Victoria ; De Roeck, Anne and Domingue, John (2004).
Multi-topic information filtering with a single user profile. In: Methods and Applications
of Artificial Intelligence (Vouros, George A. and Panayiotopoulos, Themistoklis eds.),
Lecture Notes in Computer Science, Springer, Berlin, pp. 400–409. |
| 19291 |
Publisher |
ext-1c5ddec173ca8cdfba8b274309638579 |
| 19291 |
Title |
Multi-topic information filtering with a single user profile |
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in dataset |
oro |