{ "id": 3667, "title": "Relationship between interested and event_attendees", "url": "/competitions/event-recommendation-engine-challenge/discussion/3667", "author_name": "", "post_date": "2013-01-22T20:36:34.987Z", "votes": null, "comment_count": 4, "views": 1882, "content": "

User could click "interest" to indicate he like the event, and "not interested" to dislike the event. But I am wondering that is it the same schema for indicating user attendees? i.e, there are three buttons to indicate the user will attend the event, or\r\n "maybe", or "not". 

\r\n

If this is the case, I have three scenarios, I do not know which one is corret.

\r\n

The first one :

\r\n

The user clicked the "interest" button first, and then he was asked to answer whether he would attend the event or not.

\r\n

The second one:

\r\n

The user clicked "Yes, I wanta to attend the event" first, then after the event happened for several days later, The user was asked to answer that whether he feels good "interest" or not ("not interest").

\r\n

The third one:

\r\n

The user can click "interested", "not interested" and "Yes," "maybe", "not" at the same time. If so, why I could not see any user who "interested" in some event and also "attend" it in the dataset

\r\n

 

", "messages": [ { "id": "19602", "postDate": "01/22/2013 20:36:34", "content": "

User could click "interest" to indicate he like the event, and "not interested" to dislike the event. But I am wondering that is it the same schema for indicating user attendees? i.e, there are three buttons to indicate the user will attend the event, or\r\n "maybe", or "not". 

\r\n

If this is the case, I have three scenarios, I do not know which one is corret.

\r\n

The first one :

\r\n

The user clicked the "interest" button first, and then he was asked to answer whether he would attend the event or not.

\r\n

The second one:

\r\n

The user clicked "Yes, I wanta to attend the event" first, then after the event happened for several days later, The user was asked to answer that whether he feels good "interest" or not ("not interest").

\r\n

The third one:

\r\n

The user can click "interested", "not interested" and "Yes," "maybe", "not" at the same time. If so, why I could not see any user who "interested" in some event and also "attend" it in the dataset

\r\n

 

", "rawMarkdown": "", "votes": null }, { "id": "19604", "postDate": "01/22/2013 22:58:28", "content": "

Different question but related to this thread: it seems that the user-event pairs in train.csv cannot be found in eventattendees.csv. When I pick a user-event from train.csv and go to eventattendees to see if they effectively attended "yes", it\r\n turns out nobody did. To put it more clearly, take the "invited" pick a user-event observation from train.csv. Then go to even_attendees and look fro the event. You will not find the user in the invited list.

\r\n

Am I missing something?

", "rawMarkdown": "", "votes": null }, { "id": "19607", "postDate": "01/23/2013 00:05:56", "content": "

The pairs shown in the training set and testing set, never appear in the file eventattendees.csv. So I think probably users who can rate "interest" or "not interest" only when they confirm to attend the event. (the second scenario). In this case, every pair\r\n shown in the training and testing set implicitly indicated that the user1 attend the event1.

", "rawMarkdown": "", "votes": null }, { "id": "19636", "postDate": "01/23/2013 19:55:38", "content": "

Does anybody can explain to me how the event_attendees.csv data collected.

", "rawMarkdown": "", "votes": null }, { "id": "19698", "postDate": "01/25/2013 22:00:21", "content": "

Just to clarify: A user does not have to be attending an event to express interest. Users that haven't even been invited can express interest / not interest. Attendance state and Interest state are completely orthogonal.

", "rawMarkdown": "", "votes": null } ], "comments": [ { "id": 19604, "author_name": "hernanbruno", "author_url": "", "post_date": "01/22/2013 22:58:28", "content": "

Different question but related to this thread: it seems that the user-event pairs in train.csv cannot be found in eventattendees.csv. When I pick a user-event from train.csv and go to eventattendees to see if they effectively attended "yes", it\r\n turns out nobody did. To put it more clearly, take the "invited" pick a user-event observation from train.csv. Then go to even_attendees and look fro the event. You will not find the user in the invited list.

\r\n

Am I missing something?

", "votes": null, "replies": [] }, { "id": 19607, "author_name": "yelongking", "author_url": "", "post_date": "01/23/2013 00:05:56", "content": "

The pairs shown in the training set and testing set, never appear in the file eventattendees.csv. So I think probably users who can rate "interest" or "not interest" only when they confirm to attend the event. (the second scenario). In this case, every pair\r\n shown in the training and testing set implicitly indicated that the user1 attend the event1.

", "votes": null, "replies": [] }, { "id": 19636, "author_name": "yelongking", "author_url": "", "post_date": "01/23/2013 19:55:38", "content": "

Does anybody can explain to me how the event_attendees.csv data collected.

", "votes": null, "replies": [] }, { "id": 19698, "author_name": "events4you", "author_url": "", "post_date": "01/25/2013 22:00:21", "content": "

Just to clarify: A user does not have to be attending an event to express interest. Users that haven't even been invited can express interest / not interest. Attendance state and Interest state are completely orthogonal.

", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "19602": "", "19604": "", "19607": "", "19636": "", "19698": "" }, "source": "meta" }