Recommendations System for KlingtGut

Contents:

• Setup

  • Requirements
    • Libraries
    • Files

• Get hashtags from a seen post

  • command
  • Output
    • Filename
    • Filelayout

• Score post based on hashtags for user

  • command
  • Output
    • Filename
    • Filelayout

Setup:

Requirements:

• python 3.11
• pip

Libraries:

• requests
• pandas
• numpy
• python-dateutil

Note

you only need to install pip than you can run the following command to install the libraries

$ python ./hashtags_for_user/base_info.py

this will install all the required libraries

Files:

• base_info.py
• hashtags_from_post.py
• post_score.py

Warning

you ne d to have all the files in the same folder named hashtags_for_user

Get hashtags from a seen post

command:

syntax:

$ python /location/to/file/hashtags_from_post.py {userid} {postid}

example:

$ python hashtags_for_user/hashtags_from_post.py 65846334e4aa365544dd06af 65b111bdd0ba272101646dad

Output:

Filename:

syntax:

hashtags-{userid}-.csv

example:

hashtags-65846334e4aa365544dd06af-.csv

Filelayout:

syntax:

none	viewed	liked	comments	posted	score
test	0	0	0	0	0
{hashtag}	{a}	{b}	{c}	{d}	{$a + 10 * b + 5 * c + 10 * d$}

layout:

,viewed,liked,comments,posted,score
test,0,0,0,0,0

example:

none	viewed	liked	comments	posted	score
test	0	0	0	0	0
#musik	5	4	1	1	60
#python	5	4	1	1	60

layout:

,viewed,liked,comments,posted,score
test,0,0,0,0,0
#musik,5,4,1,1,60
#python,5,4,1,1,60

Score post based on hashtags for user

command:

syntax:

$ python /location/to/file/post_score.py {userid} {postid}

example:

$ python hashtags_for_user/post_score.py 65846334e4aa365544dd06af 65b111bdd0ba272101646dad

Output:

Filename:

syntax:

post-scores-{userid}-.csv

example:

post-scores-65846334e4aa365544dd06af-.csv

Filelayout:

syntax:

none	viewed	score
0	False	0.0
{postid}	{boolean}	{$postscore / nhashtags + likes * 10$}

layout:

,viewed,score
0,False,0.0

example:

none	viewed	score
0	False	0.0
65b111bdd0ba272101646dad	False	70.0

layout:

,viewed,score
0,False,0.0
65b111bdd0ba272101646dad,False,70.0