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Customized Ranking Framework for Meta Search Engine Based on Page History

This project focuses on developing a meta search engine that ranks web pages according to user preferences for recency or popularity. By leveraging historical data from Amazon Alexa Web Information Services (AWIS) and Google Search API, we aim to create a customizable ranking framework. Users can select their desired ranking methods, enhancing the relevance of search results. The project includes designing a user interface for query submission and implementing the framework using Java, jQuery, and various data sources, ensuring a user-friendly experience.

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Customized Ranking Framework for Meta Search Engine Based on Page History

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

  2. 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

  3. 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

  4. Expected Interface Google realtime

  5. 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

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