Context-Aware Personalized Mobile Web Search Techniques-A Review
Source: International Journal of Computer Science and Information Technologies
The advent of the Web has raised different searching and querying problems. Keyword matching based querying techniques used by various search engines, return thousands of Web documents for a single query, and most of these documents are generally are unrelated to the users' required information. Queries submitted to a search engine may have ambiguous meanings. For example, depending on the users, the query "Apple" may refer to a fruit, the company Apple Computer and so forth. Thus, providing personalized query suggestion (e.g., users interested in "Apple" as a fruit get suggestions about fruit, while users interested in "apple" as a company) will help the user in getting the desired information.
| Format: | Size: | 270.40 | |
| Date: | Oct 2011 |



