ebay / kprn Goto Github PK

I couldn't find the script files.
A
path_config.sh: config file
run_path_find.sh: run run_path.sh
C
data.sh
movie_run_exp.py
run_test.sh
D
python ItemPop.py
train_nfm.sh

I can't even get prepare data,like music :

• song_person.dict: key: song id,value: a list of all the related song person id
• person_song.dict: reverse of the song_person.dict
• song_type.dict: key: song id,value: and a list of all the related song type id
• type_song.dict: key: reverse of the song_type.dict

above is just a little.I want to Repete your experiment,so can you help to get all the data.I have read your 'readMe.pdf'.But I can't get data from the url you suggest.
My email [email protected],if you can help me,I should fell grateful.Thank you!

I don't know how to generate all the dictions. For example, 'song_person.dict', what should i put in this file? I've read 'read me.pdf', but i can't find the answer. Thanks for your help.

I'm confused by the function "get_relation" defined in "add_relation_label.py". It appears that the authors assume that the song is represented by "s", the user is represented by "u", the artist is represented by "p" and the type of song is represented by "t". However, the song id and user id token directly from the original KG data is something like "++5wYjoMgQHoRuD3GbbvmphZbBBwymzv5Q4l8sywtuU=" or "NYE7sp/xNTq3AMFmhLT9kHdtqItEOA34m7kbGUr4Y0k=" which is quite different from the assumption above. What am I supposed to do? Reindex each user and song? I didn't find any instructions about this problem in "readMe.pdf". Please, help me!

Can I get TEM code ？

Hi,

Sorry to disturb, I would like to know which method you used to embed the entities and relations in a certain path.Thanks.

Sorry, I cannot find where introduce to the KGs. Do the authors use the public KGs? What does the KG in Table 1 means?

Hi, I have one question regarding the path extraction. Do you use all the paths within length 6 between an user-item pair or random sample some of them. Because there maybe thousands of paths bewteen a pair in Movielens Dataset.
Thanks for your attention :)