Research Paper | Computer Science & Engineering | India | Volume 2 Issue 4, April 2013
Information Retrieval using Poisson Query Generation Model
Abstract: This paper proposes a query generation model using Poisson distribution. Most existing models use multinomial distribution and score documents based on query likelihood that was computed by a query generation probabilistic model. It can be seen that the new model and the existing multinomial models are equivalent but behave differently in smoothing methods. It is found that Poisson model has several advantages over the multinomial model like naturally accommodating “per-term smoothing” and allowing more accurate background modeling. The paper presents several type of the above described model corresponding to different methods, and evaluates them.
Keywords: Language models, Poisson process, query generation
Edition: Volume 2 Issue 4, April 2013,
Pages: 551 - 553
How to Cite this Article?
S. Vasanthakumar, "Information Retrieval using Poisson Query Generation Model", International Journal of Science and Research (IJSR), https://www.ijsr.net/get_abstract.php?paper_id=IJSRON2013900, Volume 2 Issue 4, April 2013, 551 - 553, #ijsrnet
How to Share this Article?
Similar Articles with Keyword 'Language'
Sign Language Recognition using Open CV
Saiteja Juluru | Bhavya Empati | Deepak Kallepalli | Anitha V
Classification of Glassdoor Pros and Cons into Pre-Defined Categories