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

Project Description  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.  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

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 framework based on these information  We will use Java, AWIS API, Google search API and jQuery

Expected Interface Google realtime

Problems  Connection from Google search results to AWIS  AWIS information is accurate or not?  Probably AWIS doesn’t have the information for each result  Ranking Methods  The weight of each feature  Interface  User friendly  How to select ranking methods