Abstract
Vector Space Modeling (VSM) and Language Modeling (LM) are the two most influential retrieval models currently. They appear to have different perspectives and use different mathematical tools. However, they are actually closely related. The current study analyzed their relationship, compared their weighting schemes and revealed their connections. Our findings suggest that although the VSM and the LM originated from different perspectives, they are closely related. The backbone of the LM weighting is still a TF-IDF like weighting scheme.
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