html-similarity 0.3.3

A set of similarity metricts to compare html files.

This package provides a set of functions to measure the similarity between web pages.

Install

The quick way:

pip install html-similarity

How it works?

Structural Similarity

Uses sequence comparison of the html tags to compute the similarity.

We not implement the similarity based on tree edit distance because it is slower than sequence comparison.

Style Similarity

Extracts css classes of each html document and calculates the jaccard similarity of the sets of classes.

Joint Similarity (Structural Similarity and Style Similarity)

The joint similarity metric is calculated as:

k * structural_similarity(document_1, document_2) + (1 - k) * style_similarity(document_1, document_2)

All the similarity metrics takes values between 0 and 1.

Recommendations for joint similarity

Using k=0.3 give use better results. The style similarity gives more information about the similarity rather than the structural similarity.

Examples

Here is a example:

In [1]: html_1 = '''
<h1 class="title">First Document</h1>
<ul class="menu">
    <li class="active">Documents</li>
    <li>Extra</li>
</ul>
'''

In [2]: html_2 = '''
<h1 class="title">Second document Document</h1>
<ul class="menu">
    <li class="active">Extra Documents</li>
</ul>
'''

In [3] from html_similarity import style_similarity, structural_similarity, similarity

In [4]: style_similarity(html_1, html_2)
Out[4]: 1.0

In [7]: structural_similarity(html_1, html_2)
Out[7]: 0.9090909090909091

In [8]: similarity(html_1, html_2)
Out[8]: 0.9545454545454546

References

• The idea of sequence comparision was taken from Page Compare.

• The other ideas were taken from T. Gowda and C. A. Mattmann, Clustering Web Pages Based on Structure and Style Similarity, 2016 IEEE 17th International Conference on Information Reuse and Integration (IRI), Pittsburgh, PA, 2016, pp. 175-180.

• Use case Clustering web pages based on structure and style similarity