{"id":13774788,"url":"https://github.com/xiangwang1223/tree_enhanced_embedding_model","last_synced_at":"2026-01-26T19:38:02.934Z","repository":{"id":215851163,"uuid":"121237413","full_name":"xiangwang1223/tree_enhanced_embedding_model","owner":"xiangwang1223","description":"TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018","archived":false,"fork":false,"pushed_at":"2019-05-02T02:59:48.000Z","size":33892,"stargazers_count":75,"open_issues_count":4,"forks_count":15,"subscribers_count":3,"default_branch":"master","last_synced_at":"2024-12-31T06:12:28.393Z","etag":null,"topics":["attention-mechanism","decision-trees","explainable-recommendations","www2018","xgboost"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/xiangwang1223.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null}},"created_at":"2018-02-12T11:16:15.000Z","updated_at":"2024-12-26T12:53:39.000Z","dependencies_parsed_at":"2024-01-17T17:10:02.096Z","dependency_job_id":null,"html_url":"https://github.com/xiangwang1223/tree_enhanced_embedding_model","commit_stats":null,"previous_names":["xiangwang1223/tree_enhanced_embedding_model"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xiangwang1223%2Ftree_enhanced_embedding_model","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xiangwang1223%2Ftree_enhanced_embedding_model/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xiangwang1223%2Ftree_enhanced_embedding_model/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/xiangwang1223%2Ftree_enhanced_embedding_model/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/xiangwang1223","download_url":"https://codeload.github.com/xiangwang1223/tree_enhanced_embedding_model/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239861376,"owners_count":19709216,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["attention-mechanism","decision-trees","explainable-recommendations","www2018","xgboost"],"created_at":"2024-08-03T17:01:30.311Z","updated_at":"2026-01-26T19:38:02.886Z","avatar_url":"https://github.com/xiangwang1223.png","language":null,"funding_links":[],"categories":["Recommender Systems"],"sub_categories":[],"readme":"# Tree-enhanced Embedding Model\nThis is our project for the paper:\n\u003eXiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie and Tat-Seng Chua (2018). [TEM: Tree-enhanced Embedding Model for Explainable Recommendation](https://dl.acm.org/citation.cfm?id=3178876.3186066). In WWW'18, Lyon, France, April 23–27, 2018.\n\nAuthor: Dr. Xiang Wang (xiangwang at u.nus.edu)\n\n## Introduction\nTree-enhanced Embedding Mode (TEM) is a new recommendation framework, which combines the strong representation ability of embeddingbased and interpretability of tree-based models. At its core is an easy-to-interpret decision-tree and attention network, making the recommendation process fully transparent and explainable.\n\n## Citation \nIf you want to use our codes and datasets in your research, please cite:\n```\n@inproceedings{TEM2018,\n  author    = {Xiang Wang and\n               Xiangnan He and\n               Fuli Feng and\n               Liqiang Nie and\n               Tat{-}Seng Chua},\n  title     = {{TEM:} Tree-enhanced Embedding Model for Explainable Recommendation},\n  booktitle = {{WWW}},\n  pages     = {1543--1552},\n  year      = {2018},\n}\n```\n## Codes\nWe are finding license suitable to release this software. Currently codes are under request and will be released later.\n\n## Dataset\nWe provide two rich-attribute datasets: London-Attractions (LON-A) and New-York-City-Restaurant (NYC-R) datasets, which have user profiles and item attributes, and are collected from [TripAdvisor](https://www.tripadvisor.com.sg/).\n* `London_Attractions_Complete_Review.csv`\n  * All positive instances.\n  * Each line is a review, where the fields of user profiles and item attributes start with 'u' and 'i', respectively.\n\n* `New_York_City_Restaurant_Complete_Review.csv`\n  * All positive instances.\n  * Each line is a review, where the fields of user profiles and item attributes start with 'u' and 'i', respectively.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxiangwang1223%2Ftree_enhanced_embedding_model","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fxiangwang1223%2Ftree_enhanced_embedding_model","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fxiangwang1223%2Ftree_enhanced_embedding_model/lists"}