From 629bed1d00d7f93d767d759e1d0beffa09e0a46a Mon Sep 17 00:00:00 2001 From: Bakul Takthar Date: Wed, 31 Jul 2024 21:42:04 +0530 Subject: [PATCH] corrected the wrong spelling of the word "recommendation" in the movie recommendation project --- .../1.PNG | Bin .../2.PNG | Bin .../main.py | 0 .../readme.md | 12 ++++++------ movierecommandation.py => movierecommendation.py | 0 5 files changed, 6 insertions(+), 6 deletions(-) rename {movie recommandation => movie recommendation}/1.PNG (100%) rename {movie recommandation => movie recommendation}/2.PNG (100%) rename {movie recommandation => movie recommendation}/main.py (100%) rename {movie recommandation => movie recommendation}/readme.md (99%) rename movierecommandation.py => movierecommendation.py (100%) diff --git a/movie recommandation/1.PNG b/movie recommendation/1.PNG similarity index 100% rename from movie recommandation/1.PNG rename to movie recommendation/1.PNG diff --git a/movie recommandation/2.PNG b/movie recommendation/2.PNG similarity index 100% rename from movie recommandation/2.PNG rename to movie recommendation/2.PNG diff --git a/movie recommandation/main.py b/movie recommendation/main.py similarity index 100% rename from movie recommandation/main.py rename to movie recommendation/main.py diff --git a/movie recommandation/readme.md b/movie recommendation/readme.md similarity index 99% rename from movie recommandation/readme.md rename to movie recommendation/readme.md index 91fad61..5b63e09 100644 --- a/movie recommandation/readme.md +++ b/movie recommendation/readme.md @@ -1,7 +1,7 @@ -Similarity Score : -How does it decide which item is most similar to the item user likes? Here we use the similarity scores. - -It is a numerical value ranges between zero to one which helps to determine how much two items are similar to each other on a scale of zero to one. This similarity score is obtained measuring the similarity between the text details of both of the items. So, similarity score is the measure of similarity between given text details of two items. This can be done by cosine-similarity. - -How Cosine Similarity works? +Similarity Score : +How does it decide which item is most similar to the item user likes? Here we use the similarity scores. + +It is a numerical value ranges between zero to one which helps to determine how much two items are similar to each other on a scale of zero to one. This similarity score is obtained measuring the similarity between the text details of both of the items. So, similarity score is the measure of similarity between given text details of two items. This can be done by cosine-similarity. + +How Cosine Similarity works? Cosine similarity is a metric used to measure how similar the documents are irrespective of their size. Mathematically, it measures the cosine of the angle between two vectors projected in a multi-dimensional space. The cosine similarity is advantageous because even if the two similar documents are far apart by the Euclidean distance (due to the size of the document), chances are they may still be oriented closer together. The smaller the angle, higher the cosine similarity \ No newline at end of file diff --git a/movierecommandation.py b/movierecommendation.py similarity index 100% rename from movierecommandation.py rename to movierecommendation.py