Add Deep Neural Network for Temporal Sets Prediction (DNNTSP) Model (#…

…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 <[email protected]>

README.md

@@ -153,6 +153,7 @@ The recommender models supported by Cornac are listed below. Why don't you join
 |      | [Hybrid neural recommendation with joint deep representation learning of ratings and reviews (HRDR)](cornac/models/hrdr), [paper](https://www.sciencedirect.com/science/article/abs/pii/S0925231219313207) | [requirements.txt](cornac/models/hrdr/requirements.txt) | [hrdr_example.py](examples/hrdr_example.py)
 |      | [LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation](cornac/models/lightgcn), [paper](https://arxiv.org/pdf/2002.02126.pdf) | [requirements.txt](cornac/models/lightgcn/requirements.txt) | [lightgcn_example.py](examples/lightgcn_example.py)
 |      | [New Variational Autoencoder for Top-N Recommendations with Implicit Feedback (RecVAE)](cornac/models/recvae), [paper](https://doi.org/10.1145/3336191.3371831) | [requirements.txt](cornac/models/recvae/requirements.txt) | [recvae_example.py](examples/recvae_example.py)
+|      | [Predicting Temporal Sets with Deep Neural Networks (DNNTSP)](cornac/models/dnntsp), [paper](https://arxiv.org/pdf/2006.11483.pdf) | [requirements.txt](cornac/models/dnntsp/requirements.txt) | [dnntsp_tafeng.py](examples/dnntsp_tafeng.py)
 |      | [Recency Aware Collaborative Filtering for Next Basket Recommendation (UPCF)](cornac/models/upcf), [paper](https://dl.acm.org/doi/abs/10.1145/3340631.3394850) | [requirements.txt](cornac/models/upcf/requirements.txt) | [upcf_tafeng.py](examples/upcf_tafeng.py)
 |      | [Temporal-Item-Frequency-based User-KNN (TIFUKNN)](cornac/models/tifuknn), [paper](https://arxiv.org/pdf/2006.00556.pdf) | N/A | [tifuknn_tafeng.py](examples/tifuknn_tafeng.py)
 | 2019 | [Correlation-Sensitive Next-Basket Recommendation (Beacon)](cornac/models/beacon), [paper](https://www.ijcai.org/proceedings/2019/0389.pdf) | [requirements.txt](cornac/models/beacon/requirements.txt) | [beacon_tafeng.py](examples/beacon_tafeng.py)

cornac/models/__init__.py

@@ -38,6 +38,7 @@
 from .ctr import CTR
 from .cvae import CVAE
 from .cvaecf import CVAECF
+from .dnntsp import DNNTSP
 from .ease import EASE
 from .efm import EFM
 from .fm import FM

cornac/models/dnntsp/__init__.py

@@ -0,0 +1,16 @@
+# Copyright 2023 The Cornac Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+# ============================================================================
+
+from .recom_dnntsp import DNNTSP