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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Saxena, N. Tiwari, N.K. Husain, M. |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Inf. Technol., SRMGPC, Lucknow, India (Saxena, N.) || Dept. of Comput. Sci., JIT, Barabanki, India (Husain, M.) || Dept. of Comput. Sci., SRMU, Lucknow, India (Tiwari, N.K.) |
| Abstract | With ever increasing number of users on Internet there is a necessity to make Web retrieval process to be more efficient. The users face the problem which is how to get relevant and useful information from the large disorder information. Web mining can change the way results are provided to user queries presently i.e. ranked list of content based results. This work focuses on the study of different filtering and ranking methods and introducing a combined approach for finding relevance. The relevancy and ranking of the document will be performed by going through the content of web pages, link structure and user choice. The framework using the combination of three approaches as a hybrid approach is introduced. Here in this paper we want to focus on how to locate the resources on World Wide Web which is high in quality and relevant to information need. |
| Sponsorship | IEEE Delhi Sect. |
| Starting Page | 72 |
| Ending Page | 74 |
| File Size | 121423 |
| Page Count | 3 |
| File Format | |
| ISBN | 9789380544106 |
| e-ISBN | 9789380544120 |
| DOI | 10.1109/IndiaCom.2014.6828044 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-03-05 |
| Publisher Place | India |
| Access Restriction | Subscribed |
| Rights Holder | Bharati Vidyapeeth University |
| Subject Keyword | Knowledge engineering Link structure Ranking Web pages Web mining Web Content Search engines Prediction algorithms User Choice Classification algorithms Web Mining Web search |
| Content Type | Text |
| Resource Type | Article |
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