Combining IR Models for Bengali Information Retrieval

Previous Work

The most common information retrieval models that are in use are Boolean retrieval model, Probabilistic model, Vector Space Model and Language model.

The earliest works on Information retrieval model was devoted to Boolean Retrieval Model which is the simplest and most widely used model. The model relies simply on Boolean operators like AND, OR and NOT. The terms are linked together with these operators. However, it searches the exact words thus a user has to have some idea about the query he is using, for example misspelling will not give an intended result. The very common problem of Boolean retrieval model is term mismatch problem (Zhao, 2012). To deal with this, the common strategy is to use Stemming which reduces a term to its morphological stem and using it as a prefix, users can retrieve many terms that are conceptually related to the original term (Marcus, 1991).