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Project Title: Deepin Search Member: Wenxu Li & Ziming Zhai Description: A meta search engine that collaborates with page history.
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Project Title: Deepin Search • Member: Wenxu Li & Ziming Zhai • Description: • A meta search engine that collaborates with page history. • In this project, we will design several ranking methods based on the page history information from Amazon Alexa Web Information Services, such as publish time, traffic and so on. And then use our ranking methods to re-rank the results from google search engine. • The reason is that sometimes we want to get the latest web pages, and sometimes we want to get the most popular web pages. The search engine should give different ranks based on users’ requirement. History can tell us more about the web pages.
Implementation Strategy • Design an interface that allows user to submit queries • Google Search Result • We will use Google search API (In “Special Resources”) to retrieve the top 30 results from Google • Amazon Alexa Web Information Services • Open an account in Amazon and purchase AWIS ($0.15 per 1000 requests) • Use AWIS API to retrieve the history information for each result URL • Develop our ranking methods based on these information • We will use Java, AWIS API, Google search API and jQuery