diff options
| author | Kumar Damani <me@kumardamani.net> | 2024-08-14 18:40:28 +0000 |
|---|---|---|
| committer | Kumar Damani <me@kumardamani.net> | 2024-08-14 18:40:28 +0000 |
| commit | 5ae7c22764530f84359a3414ced331c9cd08a17e (patch) | |
| tree | e4edc1534cc2ba0b985ce8190284be7be145c783 /about.html | |
| parent | a223c3fdaa7861d5f932ba2079dab5dfcf63bec5 (diff) | |
final touches
Diffstat (limited to 'about.html')
| -rw-r--r-- | about.html | 29 |
1 files changed, 18 insertions, 11 deletions
@@ -13,23 +13,30 @@ <img class="flex" src="images/pixel-lasso.jpeg" max-width="50%" alt="Pixel art of a cowboy lassoing a dragon."> <div class="flex flex2" style="max-width: 500px; color: unset;"> <p> - This site uses word similarity to score all dragon names in terms of its - "closeness" to the given name. - The dragon name that is the "closest" is the one selected as the user's dragon.</p> + This site uses word similarity to score all dragon names from George R.R. Martin's + <a href="https://en.wikipedia.org/wiki/Game_of_Thrones" target="_blank">A Song of Ice and Fire</a> + universe in terms of their "closeness" to the given name. + The dragon name that is the "closest" is the one selected as the user's dragon. + </p> <p> - It uses three popular techniques to calculate similarity scores - - these are the <a href="https://en.wikipedia.org/wiki/Levenshtein_distance" target="_blank">Levenshtein Distance</a>, - <a href="https://en.wikipedia.org/wiki/Cosine_similarity" target="_blank">Cosine Similarity</a>, - and <a href="https://en.wikipedia.org/wiki/Jaccard_index" target="_blank">Jaccard Similarity</a>. + It uses three popular techniques in + <a href="https://en.wikipedia.org/wiki/Natural_language_processing" target="_blank">NLP</a> + to calculate similarity scores - these are the + <a href="https://en.wikipedia.org/wiki/Levenshtein_distance" target="_blank">Levenshtein Distance</a>, + <a href="https://en.wikipedia.org/wiki/Cosine_similarity" target="_blank">Cosine Similarity</a>, + and <a href="https://en.wikipedia.org/wiki/Jaccard_index" target="_blank">Jaccard Similarity</a>. </p> <p> - The final result shown to the user uses cosine similarity only, - but top ranking dragons from each of the other two techniques are - also shown as alternatives. + The final result shown to the user uses cosine similarity only, + but top ranking dragons from each of the other two techniques are + also shown as alternatives. </p> </div> </div> - <a href="index.html">Home</a> + <footer> + <a href="index.html">Home</a><br> + <a href="https://kumardamani.net" target="_blank">Author</a> + </footer> </center> </body> </html> |