project title: deepin search member: wenxu li & ziming zhai csci 572 project

Project Title: Deepin Search

Member: Wenxu Li & Ziming Zhai

CSCI 572 Project

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.

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

Division of Work

Ziming ZhaiServer-Side with PHP to get Data from Google &

AmazonDesign and Implement customized ranking

methodsWenxu Li

Front-end UI and animation with jQueryDesign and Implement customized ranking

methods

Screenshot of Interface

Data Collected & PresentedGoogle search request: (RESTful API)https://ajax.googleapis.com/ajax/services/search/web?v=1.0&q=Paris%20Hilton&key=INSERT-YOUR-KEYGoogle search result: (JSON Format)

Data Collected & PresentedAmazon Alexa request: ( HTTP GET requests)

Amazon Alexa result: (XML Format)

Data Flow