* Add Temporal-Item-Frequency-based User-KNN (TIFUKNN) model for next basket recommendation

* replace KNN with KDTree

* refactor code

* Fix scoring function using the average neighbors vectors

* Added RecVAE

* add recvae example

* update readme

* update README

* fix conflict

* remove local ndcg func

* removed unnecessary things from the source code.

* Add None Seed

* Remove unsued code. Fix bottleneck

* Added docstring for main class

* sort the imports alphabetically

* fix typo

* reorder import s

* CSR: Compressed Sparse Row, CSC: Compressed Sparse Colum

* reorder imports

* Update models.rst

* Update README.md

---------

Co-authored-by: SEUNGHEE.oh <seunghee.oh@hp.com>
Co-authored-by: Quoc-Tuan Truong <tqtg@users.noreply.github.com>

* Add `data.dataset.SequentialDataset` to support new data formats:
  * "SIT": Session, Item, Timestamp
  * "SITJson": Session, Item, Timestamp, Json
  * "USIT": User, Session, Item, Timestamp
  * "USITJson": User, Session, Item, Timestamp, Json
* Add `data.reader` parser for listed formats
* Add `eval_method.NextItemEvaluation` for next-item evaluation
* Add `models.SPop` baseline model: session-based popular
* Add `gowalla` check-ins and `yoochoose` datasets
* Add unit tests

---------

Co-authored-by: lthoang <trhoanglee@gmail.com>
Co-authored-by: tqtg <tuantq.vnu@gmail.com>

…4Rec) model (#574)

* add config.yml

* Bump circleci python orb version

…ion (UPCF) Model (#587)

* Add Recency Aware Collaborative Filtering for Next Basket Recommendation (UPCF) Model

* Remove unused seed variable

* Fixed similaripy version

…584)

* Add beacon model

* Add example

* Update docs

* Fixed data_iter

* refactor code

…586)

* Add DNNTSP Model

* refactor code

* refactor code

* Fix scoring function

* refactor code

* Add random seed

* refactor code

* refactor code

* Fix weight_mse and multi_label loss

* Update multi_label loss using sum reduction

---------

Co-authored-by: Quoc-Tuan Truong <tqtg@users.noreply.github.com>

…aining sequences as default (#591)

* Add colunm model type into table models

* Update README.md

* Shorten requirements to give more space for other columns

* Shorten a few model names

* Update README.md

* Shorten LRPPM model title

* Shorten examples

---------

Co-authored-by: Quoc-Tuan Truong <tqtg@users.noreply.github.com>

* Include metric_user_results in evaluation response, added eval json endpoint

* Remove query from response

* Utilize mapped inversed user id map to get original id in response

* Update serving test case to remove 'query' and add 'user_result' in response

* simplify user ID mapping

* Combined evaluation and evaluation_json endpoints

* Updated abort responses to show plaintext instead of html

* Added unit test cases

* Updated error response for empty data

* Added unit tests for provided data evaluation

* Update app.py

* Update test_app.py

---------

Co-authored-by: Quoc-Tuan Truong <tqtg@users.noreply.github.com>