REAL TIME PREDICTION SYSTEM SEARCH
Abstract & Details
Research Area
Computer Science & Engineering
Keywords
Search
Search engine
Summarized answering
FAQ database
Constant Curating
A.I features
Interactive platform
Conversation approach
Intergration with Phone Assistants.
Abstract
Real-time Prediction System (R.P.S) search is an answer engine that specialises in giving fast, efficient and specific answers to questions searched/asked. When a question is asked, the answer engine search for one or two best possible answers for the questions instead of providing the user with multiple website links as is customary in search engines. It reduces the human effort as it provides user with one readymade answer, instead of him surfing through sites for it.The other websites which offer such services include WolframAlpha. RPS search differs from such site by storing and curating answers for common and most searched questions, thereby reducing computation time and saving lot of user’s time. Also, it includes a prediction algorithm that gives it more of A.I finish. It provides for an interactive platform where users can ask few questions whose outcomes would have to be predicted or answer has to be provided.RPS could be the next step in search engine revolution. It would serve as most effective search engine especially when integrated with phone assistants such as Siri or Cortana, as it would provide such assistants with better result providing capabilities adding to their humane feature. Providing a conversation approach to the search facility would make it easier and would provide better feel to the user.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Sreerag Premanathan | SRM University, Ramapuram Campus |
| 2 | Vishnu A | SRM University, Ramapuram Campus |
| 3 | Ashwin Rana | SRM University, Ramapuram Campus |
| 4 | Anondita Guha | SRM University, Ramapuram Campus |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Premanathan, Sreerag, A, Vishnu, Rana, Ashwin, & Guha, Anondita (2017). REAL TIME PREDICTION SYSTEM SEARCH. International Journal of Advance Research and Innovative Ideas In Education, 3(5), 559-564.
MLA Style
Premanathan, Sreerag, et al. "REAL TIME PREDICTION SYSTEM SEARCH." International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 5, 2017, pp. 559-564.
IEEE Style
Sreerag Premanathan, Vishnu A, Ashwin Rana, and Anondita Guha, "REAL TIME PREDICTION SYSTEM SEARCH," International Journal of Advance Research and Innovative Ideas In Education, vol. 3, no. 5, pp. 559-564, 2017.
Vancouver Style
Premanathan Sreerag, A Vishnu, Rana Ashwin, Guha Anondita. REAL TIME PREDICTION SYSTEM SEARCH. International Journal of Advance Research and Innovative Ideas In Education. 2017;3(5):559-564.
Harvard Style
Premanathan, Sreerag, A, Vishnu, Rana, Ashwin, & Guha, Anondita (2017) 'REAL TIME PREDICTION SYSTEM SEARCH', International Journal of Advance Research and Innovative Ideas In Education, 3(5), pp. 559-564.
Chicago Style
Premanathan, Sreerag, et al. "REAL TIME PREDICTION SYSTEM SEARCH." International Journal of Advance Research and Innovative Ideas In Education 3, no. 5 (2017): 559-564.
Turabian Style
Premanathan, Sreerag, et al. "REAL TIME PREDICTION SYSTEM SEARCH." International Journal of Advance Research and Innovative Ideas In Education 3, no. 5 (2017): 559-564.
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