{"id":"https://openalex.org/W4402438283","doi":"https://doi.org/10.1145/3674029.3674042","title":"A Combined Neural Price-Aware Collaborative Filtering and Clustering Approach for User Segmentation Based on Willingness to Pay","display_name":"A Combined Neural Price-Aware Collaborative Filtering and Clustering Approach for User Segmentation Based on Willingness to Pay","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4402438283","doi":"https://doi.org/10.1145/3674029.3674042"},"language":"en","primary_location":{"id":"doi:10.1145/3674029.3674042","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674029.3674042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102693055","display_name":"Aakash Swami","orcid":"https://orcid.org/0009-0002-5511-8367"},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aakash Swami","raw_affiliation_strings":["TCS Research, India"],"raw_orcid":"https://orcid.org/0009-0002-5511-8367","affiliations":[{"raw_affiliation_string":"TCS Research, India","institution_ids":["https://openalex.org/I55215948"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028267695","display_name":"V Tirumala","orcid":null},"institutions":[{"id":"https://openalex.org/I55215948","display_name":"Tata Consultancy Services (India)","ror":"https://ror.org/01b9n8m42","country_code":"IN","type":"company","lineage":["https://openalex.org/I4210086519","https://openalex.org/I55215948"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tirumala V","raw_affiliation_strings":["TCS Research, India"],"raw_orcid":"https://orcid.org/0009-0002-1477-9820","affiliations":[{"raw_affiliation_string":"TCS Research, India","institution_ids":["https://openalex.org/I55215948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5102693055"],"corresponding_institution_ids":["https://openalex.org/I55215948"],"apc_list":null,"apc_paid":null,"fwci":2.238,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90621863,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"79","last_page":"83"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9934999942779541,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9824000000953674,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222745418548584},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7126873731613159},{"id":"https://openalex.org/keywords/collaborative-filtering","display_name":"Collaborative filtering","score":0.7040414810180664},{"id":"https://openalex.org/keywords/willingness-to-pay","display_name":"Willingness to pay","score":0.6579722762107849},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.55218905210495},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4688462018966675},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4288424849510193},{"id":"https://openalex.org/keywords/image-segmentation","display_name":"Image segmentation","score":0.4139777421951294},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3945660889148712},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37100422382354736},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.2585763931274414},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.07727542519569397}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222745418548584},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7126873731613159},{"id":"https://openalex.org/C21569690","wikidata":"https://www.wikidata.org/wiki/Q94702","display_name":"Collaborative filtering","level":3,"score":0.7040414810180664},{"id":"https://openalex.org/C2777364431","wikidata":"https://www.wikidata.org/wiki/Q140813","display_name":"Willingness to pay","level":2,"score":0.6579722762107849},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.55218905210495},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4688462018966675},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4288424849510193},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.4139777421951294},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3945660889148712},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37100422382354736},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.2585763931274414},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07727542519569397},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3674029.3674042","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3674029.3674042","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 9th International Conference on Machine Learning Technologies (ICMLT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1551143260","https://openalex.org/W1970610962","https://openalex.org/W2024972882","https://openalex.org/W2043347849","https://openalex.org/W2079333778","https://openalex.org/W2089233679","https://openalex.org/W2111496288","https://openalex.org/W2140156026","https://openalex.org/W2148228496","https://openalex.org/W2153233077","https://openalex.org/W2154594185","https://openalex.org/W2187089797","https://openalex.org/W2341865734","https://openalex.org/W2605350416","https://openalex.org/W2801872061","https://openalex.org/W2906115686","https://openalex.org/W2997641630","https://openalex.org/W3037696336","https://openalex.org/W3044003840","https://openalex.org/W3216394853","https://openalex.org/W4211244119","https://openalex.org/W4233704721","https://openalex.org/W4379259504","https://openalex.org/W6677611730","https://openalex.org/W6748002556"],"related_works":["https://openalex.org/W2398165842","https://openalex.org/W197922276","https://openalex.org/W4226158052","https://openalex.org/W1809731386","https://openalex.org/W4388863299","https://openalex.org/W2160332782","https://openalex.org/W2945818642","https://openalex.org/W2146181690","https://openalex.org/W2006998619","https://openalex.org/W1522196789"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
