The Interestingness Tool for Search in the Web

TL;DR

This paper presents a flexible and robust web search tool based on interestingness, combining relevance and unexpectedness, with customizable functions and validated through experiments across domains and comparisons with commercial engines.

Contribution

It introduces a novel, adaptable search tool that incorporates various interestingness functions and demonstrates its effectiveness through experimental validation.

Findings

The tool effectively combines relevance and unexpectedness for improved search results.

It supports multiple interestingness functions like Match-Mismatch and Tf-Idf.

Experimental results show competitive performance with commercial search engines.

Abstract

Interestingness,as the composition of Relevance and Unexpectedness, has been tested by means of Web search cases studies and led to promising results. But for thorough investigation and routine practical application one needs a flexible and robust tool. This work describes such an Interestingness based search tool, its software architecture and actual implementation. One of its flexibility traits is the choice of Interestingness functions: it may work with Match-Mismatch and Tf-Idf, among other functions. The tool has been experimentally verified by application to various domains of interest. It has been validated by comparison of results with those of commercial search engines and results from differing Interestingness functions.