{"doi":"10.1145/3523227.3547423","title":"An Interpretable Neural Network Model for Bundle Recommendations","abstract":null,"journal":"Proceedings of the 16th ACM Conference on Recommender Systems","year":2022,"id":629071,"datarank":0.16479184330021646,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"self_citation_contribution":0.16479184330021646,"citation_network_contribution":0.0,"self_endowment_contribution":0.16479184330021646,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":null,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":null,"fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1629045,"name":"Edward C. Malthouse","orcid":null,"position":1,"is_corresponding":false},{"id":1052797,"name":"Xinyi Li","orcid":"0000-0003-3136-4811","position":0,"is_corresponding":false}],"reference_count":0,"raw_metadata":{"has_enrichment":true,"resolved":true,"title":"An Interpretable Neural Network Model for Bundle Recommendations","abstract":"A users’ preference for a bundle – a set of items that can be purchased together – can be expressed by the utility of this bundle to the user. The multi-attribute utility theory motivate us to characterize the utility of a bundle using its attributes to improve the personalized bundle recommendation systems. This extended abstract for the Doctoral Symposium describes my PhD project for studying the utility of a bundle using its attributes. The steps taken and some preliminary results are presented, with an outline of the future plans.","is_dataset_classified":null,"base_score":1.0986122886681096,"endowment":1.0986122886681096,"datacite_reuse_total":0,"file_count":0,"downloads":0,"views":0,"has_version_chain":false,"is_dataset":false,"is_oa":false,"pmid":"19910364","pmcid":null,"openalex_id":"https://openalex.org/W4296591829","authors":[],"funders":[],"total_grants":0,"fwci":0.3373,"citation_percentile":0.55021547,"influential_citations":0,"citation_trend":[{"year":2023,"count":1},{"year":2025,"count":1}],"oa_status":"closed","license":"https://www.acm.org/publications/policies/copyright_policy#Background","oa_locations":[{"url":"https://dl.acm.org/doi/10.1145/3523227.3547423","host_type":"publisher"},{"url":"https://dl.acm.org/doi/pdf/10.1145/3523227.3547423","host_type":"publisher"},{"url":"https://doi.org/10.1145/3523227.3547423","host_type":""}],"fields_of_study":["Explainable Artificial Intelligence (XAI)","Neural Networks and Applications","Recommender Systems and Techniques"],"mesh_terms":[],"keywords":["Bundle","Computer science","Set (abstract data type)","Bundle adjustment","Preference","Artificial intelligence","Machine learning","Data mining","Mathematics"],"sdg_mappings":[],"linked_datasets":[],"clinical_trials":[],"software_tools":[],"database_accessions":[],"source":"live","citation_network_status":"fetched"},"created_at":"2026-08-05T16:27:05.816959Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}