1. Project Title: Deepin Search Member: Wenxu Li & Ziming Zhai CSCI 572 Project

2. Project Description  A meta search engine that collaborates with page history.  In this project, we will design a customized ranking framework based on the page history information from Amazon Alexa Web Information Services, which allows users to create their own ranking methods  Reason: 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.

3. Software to Use  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 framework based on these information  We will use Java, AWIS API, Google search API and jQuery

4. Division of Work  Ziming Zhai  Server-Side with PHP to get Data from Google & Amazon  Design and Implement customized ranking methods  Wenxu Li  Front-end UI and animation with jQuery  Design and Implement customized ranking methods

5. Screenshot of Interface

6. Data Collected & Presented Google search request: (RESTful API) https://ajax.googleapis.com/ajax/services/search/web?v=1.0&q=Paris%2 0Hilton&key=INSERT-YOUR-KEY Google search result: (JSON Format)

7. Data Collected & Presented Amazon Alexa request: ( HTTP GET requests) Amazon Alexa result: (XML Format)

8. Data Flow