Query sensitive comparative summarization of search results using concept based segmentation

TL;DR

This paper introduces a method for generating query-sensitive comparative summaries of multiple web pages by segmenting HTML DOM trees into concept blocks and extracting key sentences, aiding quick comparison and decision making.

Contribution

It presents a novel approach using HTML DOM segmentation and sentence scoring to produce real-time comparative summaries based on user queries.

Findings

Effective in reducing browsing time

Enhances quick decision making

Utilizes concept-based segmentation for summarization

Abstract

Query sensitive summarization aims at providing the users with the summary of the contents of single or multiple web pages based on the search query. This paper proposes a novel idea of generating a comparative summary from a set of URLs from the search result. User selects a set of web page links from the search result produced by search engine. Comparative summary of these selected web sites is generated. This method makes use of HTML DOM tree structure of these web pages. HTML documents are segmented into set of concept blocks. Sentence score of each concept block is computed with respect to the query and feature keywords. The important sentences from the concept blocks of different web pages are extracted to compose the comparative summary on the fly. This system reduces the time and effort required for the user to browse various web sites to compare the information. The comparative summary of the contents would help the users in quick decision making.