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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jayaratne, M. Haththotuwa, I. Arachchi, C.D. Perera, S. Fernando, D. Weerakoon, S. |
| Copyright Year | 2012 |
| Description | Author affiliation: Dept. of Comput. Sci. & Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka (Jayaratne, M.; Haththotuwa, I.; Arachchi, C.D.; Perera, S.; Fernando, D.) || Zone 24×7 (Pvt.) Ltd., Colombo, Sri Lanka (Weerakoon, S.) |
| Abstract | With vast amounts of data being produced, present world is overwhelmed with information and searching for appropriate content has turned out to be harder than ever before. Semantics, which typically focuses on the relationship between signifiers, such as words, phrases, signs and symbols, and what they stand for is now being used more and more in search engines to provide the user with more meaningful content. Further it is no more the case that users are interested in search results that the majority of users would agree to, but are more interested in results being personalized to them. In this research paper we present iSeS: Intelligent Semantic Search Framework, which is a search framework, a custom web site or an application can adapt. We focus on using underlying semantics of the content being indexed in providing more meaningful search results personalized to each user. We look into both latent semantic indexing and metadata extraction based methods for providing semantically rich search results. Collaborative filtering and how it is used to personalize search results is also explored in this paper. |
| Sponsorship | IEEE Colombia Sect. |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 493760 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450310123 |
| e-ISBN | 9781450310123 |
| DOI | 10.1145/2261605.2261637 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-23 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Association for Computing Machinery, Inc. (ACM) |
| Subject Keyword | Filtering Semantics Collaboration Search Search engines Metadata Latent Semantic Indexing Resource description framework Indexing |
| Content Type | Text |
| Resource Type | Article |
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