A Similar Terms Recommending Model Based on Concepts Extraction
Liang Ping · Microelectronics & Computer · 2006
The Web search engine is very useful information retrieval tool on Internet. The quality of keywords is one of the most important factors that affect the quality of search results. The similar terms recommending model can help users to reduce the search range and can increase the recall of search results by giving high quality keywords. This paper describes a new similar terms recommending model based on concepts extraction, which covers the shortage of existent models. It provides more accurate similar terms as keywords to improve the retrieval effectiveness.