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| Title: | Conceptual framework of using collaborative filtering algorithms to enhance keyword search |
| Author (s): | Lea, Bih-Ru Deokule, S. Yu, Wen-Bin |
| Department/Lab Affiliations: | Business & Information Technology |
| Keywords: | database searching keyword querying |
| Issue Date: | 2005 |
| Publisher: | Asia-Pacific Decision Sciences Institute |
| Citation: | Deokule, S. Yu, Wen-Bin; Lea, Bih-Ru Conceptual Framework of Using Collaborative Filtering Algorithms to Enhance Keyword Search Proceedings of The 10th Annual Meeting of Asia-Pacific Decision Sciences Institute, 15-33 - 15-39. |
| Abstract: | This study proposed a Collaborative Filtering (CF) algorithm that generates and recommends a list of alternate keywords based on the keywords originally set by a user when searching documents from an online search engine. The proposed CF algorithm incorporates the similarities among keywords associated with the documents and provides crucial recommendations that may not be considered by the user. The purpose of the proposed CF algorithm is to reduce the efforts in identifying appropriate keywords set to allocate the desired documents more efficiently. The traditional search algorithms strive to provide closely-matched results to the keywords specified by the user. However, the most exceptional search engine would not provide good quality results if the original keywords selected by the user were not suitable. Therefore, the proposed system aims at suggesting a set of alternative keywords generated based on the user’s original keywords to help a user in his/her subsequent search activities. The proposed system is expected to improve search accuracy and effectiveness for a novice user in the field of interest. For experienced users, with the fast-growing availability of information online, who may not be aware of the most updated/critical keywords, the proposed system is also expected to improve search efficiency. Furthermore, the proposed system is flexible and can easily be integrated with other search algorithms to improve search results. |
| Type: | Article - Conference proceedings text |
| In Title: | 10th Annual Meeting of Asia-Pacific Decision Sciences Institute |
| Copyright Notice: | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. Policy unknown FULL COPYRIGHT INFORMATION: |
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| title | Conceptual framework of using collaborative filtering algorithms to enhance keyword search |
| contributor.author | Lea, Bih-Ru |
| contributor.author | Deokule, S. |
| contributor.author | Yu, Wen-Bin |
| contributor.deptlab | Business & Information Technology |
| subject | database searching |
| subject | keyword querying |
| date.issued | 2005 |
| publisher | Asia-Pacific Decision Sciences Institute |
| identifier.citation | Deokule, S. Yu, Wen-Bin; Lea, Bih-Ru Conceptual Framework of Using Collaborative Filtering Algorithms to Enhance Keyword Search Proceedings of The 10th Annual Meeting of Asia-Pacific Decision Sciences Institute, 15-33 - 15-39. |
| description.abstract | This study proposed a Collaborative Filtering (CF) algorithm that generates and recommends a list of alternate keywords based on the keywords originally set by a user when searching documents from an online search engine. The proposed CF algorithm incorporates the similarities among keywords associated with the documents and provides crucial recommendations that may not be considered by the user. The purpose of the proposed CF algorithm is to reduce the efforts in identifying appropriate keywords set to allocate the desired documents more efficiently. The traditional search algorithms strive to provide closely-matched results to the keywords specified by the user. However, the most exceptional search engine would not provide good quality results if the original keywords selected by the user were not suitable. Therefore, the proposed system aims at suggesting a set of alternative keywords generated based on the user’s original keywords to help a user in his/her subsequent search activities. The proposed system is expected to improve search accuracy and effectiveness for a novice user in the field of interest. For experienced users, with the fast-growing availability of information online, who may not be aware of the most updated/critical keywords, the proposed system is also expected to improve search efficiency. Furthermore, the proposed system is flexible and can easily be integrated with other search algorithms to improve search results. |
| type | Article - Conference proceedings |
| type.DCMIType | text |
| rights | This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| rights | Policy unknown |
| rights.URI | |
| relation.isPartOf | 10th Annual Meeting of Asia-Pacific Decision Sciences Institute |
| date.available | 2008-07-28T16:49:27Z |
| identifier.persist.URI |