IRMay 14, 2014

The Interestingness Tool for Search in the Web

arXiv:1405.3557v14 citations
Originality Synthesis-oriented
AI Analysis

This work addresses web search improvement for users by providing a flexible tool, but it appears incremental as it builds on existing concepts of interestingness without major breakthroughs.

The authors tackled the problem of web search by developing a tool that incorporates interestingness, defined as a combination of relevance and unexpectedness, and experimentally verified it across various domains with comparisons to commercial search engines and different interestingness functions.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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