The Annual Meeting of the Minnesota Section

Bush, Louise

doi:10.1080/00029890.1945.11991615

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2013

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“…Along with human knowledge swelling at an unprecedented speed and information storage becoming more and more abundant, how quickly and accurately retrieval from huge amounts, multimodal information become a conspicuous problem. In 1945,Vannevar Bush's paper [1]first time put forward the design of automatically search in mass storage data. It is now being considered the masterpiece of information retrieval technology.…”

Section: Introductionmentioning

confidence: 99%

Improve the Search and Ranking with Neural Networks

Chen

Zhong

et al. 2013

AMM

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The full text retrieval system can receive constant feedback in the form of user behavior. In the case of a search engine, each user will immediately provide information about how much he likes the results for a given search by clicking on one result and choosing not to click on the others. This paper will look at a way to record when a user clicks on a result after a query, and design a Click-Tracking Network. Then training it with BP neural networks to intelligently improve the rankings of the results for users. Finally, we implement a search and ranking system content-based ranking and improve the search and ranking with neural network. By experiments we have shown good results.

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Section: Introductionmentioning

confidence: 99%