معرفی شرکت ها

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Webapp for the cold start recommender

ویژگی	مقدار
سیستم عامل	-
نام فایل	cold-start-recommender-webapp-0.4.1
نام	cold-start-recommender-webapp
نسخه کتابخانه	0.4.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	elegans.io Ltd
ایمیل نویسنده	info@elegans.io
آدرس صفحه اصلی	https://github.com/elegans-io/csrec-webapp
آدرس اینترنتی	https://pypi.org/project/cold-start-recommender-webapp/
مجوز	GPL v2

******************************************* A web app to use the cold-start-recommender ******************************************* This is a basic [tornado](http://www.tornadoweb.org/) application which provide a web interface to the [cold-start-recommender](https://github.com/elegans-io/cold-start-recommender) # Dependencies * [tornado](http://www.tornadoweb.org/) * [cold-start-recommender](https://github.com/elegans-io/cold-start-recommender) version >= 4.0.0 # Installation pip install csrec-webapp # Running the application csrec_webapp.py --port=8888 # APIs ## Item data Input Items must have at least the following fields: * A unique identifier. No matter if it is a string or an int, but must be unique. * A type identifier. The recommender must be able to recognise which type of item is dealing with (program, series, news etc). * Informative fields. Prior to use, the recommender must know which fields are the informative ones ## User behaviour data input The application must tell which action is performed by which user on which item. ## Output For each user, the recommender can recommend different types of items. Note that: * The recommender does not consider which programs/series are scheduled for a certain day. * Items for a certain period must be filtered by the user after the query. * The recommender can filter the type of items (eg if programs or series or news should be recommended to a certain user), but cannot recommend the informative fields (eg "this user likes running shoes"). * Whenever not enough information is available, the recommender recommends the most popular items. ## Functions ### Update items table Insert or modify items. #### methods POST #### URL Params ##### Required * unique_id: the name of the field used as unique id for the item #### Data Params A list of items with type and category informations e.g.: ``` [{ "_id" : "item1", "type": "lady", "category" : "high_heels"}, { "_id" : "item2", "type": "male", "category" : "mocassino"}, { "_id" : "item3", "type": "unisex", "category" : "mocassino"}, { "_id" : "item4", "type": "male", "category" : "mocassino"}] ``` #### Success Response Code: 200 Content: {} #### Error Response Code: 404 Content: {} #### Sample Call ```bash curl -X POST -H "Content-Type: application/json" -d '[{ "_id" : "item1", "type": "lady", "category" : "high_heels"}, { "_id" : "item2", "type": "male", "category" : "mocassino"}, { "_id" : "item3", "type": "unisex", "category" : "mocassino"}, { "_id" : "item4", "type": "male", "category" : "mocassino"}]' 'http://elegans.it:8000/insertitems?unique_id=_id' ``` ### Post user action on an item #### methods POST #### URL Params ##### Required * item: the item id (program, series etc) * user: This could be the value of rating, or could correspond to different actions (e.g. hated: -1, loved: +1) * code: the rating ##### Optional * only_info: true or false, default is false #### Description Update/insert an action identified by code performed by {uid} on {item_id}. If users or item are not found they are created in the database. #### Success Response Code: 200 Content: {} #### Error Response Code: 404 Content: {} #### Sample Call ```bash curl -X POST -H "Content-Type: application/json" -d '{ "item_info" : ["type", "category"]}' 'http://elegans.it:8000/itemaction?item=item1&user=User1&code=1&only_info=false' ``` ### Post a social action (users to users) #### methods POST #### Description Stores information about action performed by {uid} on {other_uid}, like "follow", "like" etc. If id's are not found they are created in the database. #### URL Params ##### Required * user: email or session_id of the user. NB Always use email if available. * code: This could be the liking factor, or could correspond to different actions (e.g. downvote: -1, follow: +1) * user_to: the other user's id #### Success Response Code: 200 Content: {} #### Error Response Code: 404 Content: {} #### Sample Call ```bash curl -X POST 'http://elegans.it:8000/socialaction?user=User1&user_to=User2&code=3' ``` ### Get recommended items for a user #### methods GET #### Description Provide a list of recommended item_ids. #### URL Params ##### Required * user: email or session_id of the user. NB Always use email if available. ##### Optional * fast: if set to any value, uses faster and less accurate algorithm * limit: integer, number of items to return, default is 10 * type: type of items to be returned. NB: if a non-existent key is provided the recommender will return an empty list #### Success Response Code: 200 Content: a list of items e.g.: ```["item4", "item1", "item3", "item2", "User2"]``` #### Error Response Code: 404 Content: {} #### Sample Call ```bash curl -X GET 'http://elegans.it:8000/recommend?user=User1&limit=10' ``` ### Reconcile session_id with user ID #### methods POST #### Description Whenever a user logs in not in the first session, the app should tell which session_id s/he was using during the previous sessions. All action associated to user_old will be associated to user_new. #### URL Params ##### Required * user_old: old user id * user_new: new user id #### Success Response Code: 200 Content: {} #### Error Response Code: 404 Content: {} #### Sample Call ```bash curl -X POST 'http://elegans.it:8000/reconcile?user_old=User1&user_new=User2 ``` ### Get action of a user #### methods GET #### Description Return a dictionary with two lists: #### URL Params * itemaction: actions performed on items * socialaction: actions performed on other users #### URL Params ##### Required * user: email or session_id of the user. NB Always use email if available.. #### Success Response Code: 200 Content: {} #### Error Response Code: 404 Content: {} #### Sample Call ```bash curl -X GET 'http://elegans.it:8000/info/user?user=User1' ``` ### Get interactions on an item #### methods GET #### Description List of user who performed any action on the item, and which action #### URL Params ##### Required * item: id of the item #### Success Response Code: 200 Content: {} #### Error Response Code: 404 Content: {} #### Sample Call ```bash curl -X GET 'http://localhost:8000/info/item?item=item1' ``` ### Serialize the data on files #### methods GET #### Description serialize data on file #### URL Params ##### Optional * filename: the path where to serialize the data, default is /tmp/dump.bin #### Success Response Code: 200 Content: {} #### Error Response Code: 404 Content: {} #### Sample Call ```bash curl -X GET 'http://localhost:8000/serialize?filename=/tmp/dump.bin' ``` ### Restore data from file #### methods GET #### Description restore data from file #### URL Params ##### Optional * filename: the path of the file which contains the serialized data #### Success Response Code: 200 Content: {} #### Error Response Code: 404 Content: {} #### Sample Call ```bash curl -X GET 'http://localhost:8000/restore?filename=/tmp/dump.bin' ```

نحوه نصب

نصب پکیج whl cold-start-recommender-webapp-0.4.1:

pip install cold-start-recommender-webapp-0.4.1.whl

نصب پکیج tar.gz cold-start-recommender-webapp-0.4.1:

pip install cold-start-recommender-webapp-0.4.1.tar.gz