Downloads: 112 | Views: 245
Research Paper | Computer Science & Engineering | India | Volume 2 Issue 4, April 2013 | Popularity: 6.4 / 10
Information Retrieval using Poisson Query Generation Model
S. Vasanthakumar
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
Make Sure to Disable the Pop-Up Blocker of Web Browser
Similar Articles
Downloads: 1 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Masters Thesis, Computer Science & Engineering, India, Volume 12 Issue 4, April 2023
Pages: 1324 - 1330A Thesis on News Recommendation
Abhik Naskar, Sudeshna Sarkar
Downloads: 5 | Weekly Hits: ⮙1 | Monthly Hits: ⮙2
Research Paper, Computer Science & Engineering, India, Volume 12 Issue 7, July 2023
Pages: 120 - 127Model for Prediction of Next Words
Chhaya Gudade, Sneha Bohra
Downloads: 6 | Weekly Hits: ⮙1 | Monthly Hits: ⮙1
Research Paper, Computer Science & Engineering, Greece, Volume 12 Issue 7, July 2023
Pages: 193 - 197Exploring Data Analytics of Beloved Passed away Relatives by Assessing Smart Technology as a Digital Resurrection Service
Theodoros Anagnostopoulos
Downloads: 118
Research Paper, Computer Science & Engineering, India, Volume 5 Issue 6, June 2016
Pages: 2044 - 2048Multi-keyword Ranked Search Over Encrypted Cloud Data Supporting Synonym Query
Siddheshwar S. Metkari, Dr. S. B. Sonkamble