The week's pick
Reseach Article
Ad-hoc Retrieval on FIRE Data Set with TF-IDF and Probabilistic Models
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 93 - Number 18 |
| Year of Publication: 2014 |
| Authors: Chandra Shekhar Jangid, Santosh K Vishwakarma, Kamaljit I Lakhtaria |
10.5120/16435-6136
|
Chandra Shekhar Jangid, Santosh K Vishwakarma, Kamaljit I Lakhtaria . Ad-hoc Retrieval on FIRE Data Set with TF-IDF and Probabilistic Models. International Journal of Computer Applications. 93, 18 ( May 2014), 22-25. DOI=10.5120/16435-6136
Abstract
Information Retrieval is finding documents of unstructured nature which should satisfy user's information needs. There exist various models for weighting terms of corpus documents and query terms. This work is carried out to analyze and evaluate the retrieval effectiveness of various IR models while using the new data set of FIRE 2011. The experiments were performed with tf-idf and its variants along with probabilistic models. For all experiments and evaluation the open search engine, Terrier 3. 5 was used. Our result shows that tf-idf model gives the highest precision values with the news corpus dataset.
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