Publication Information

{'id': 'https://openalex.org/W3182934104', 'doi': 'https://doi.org/10.1145/3465456.3467580', 'title': 'Learning Product Rankings Robust to Fake Users', 'display_name': 'Learning Product Rankings Robust to Fake Users', 'publication_year': 2021, 'publication_date': '2021-07-18', 'ids': {'openalex': 'https://openalex.org/W3182934104', 'doi': 'https://doi.org/10.1145/3465456.3467580', 'mag': '3182934104'}, 'language': 'en', 'primary_location': {'is_oa': False, 'landing_page_url': 'https://doi.org/10.1145/3465456.3467580', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, 'type': 'article', 'type_crossref': 'proceedings-article', 'indexed_in': ['crossref'], 'open_access': {'is_oa': True, 'oa_status': 'green', 'oa_url': 'https://arxiv.org/pdf/2009.05138', 'any_repository_has_fulltext': True}, 'authorships': [{'author_position': 'first', 'author': {'id': 'https://openalex.org/A5007061409', 'display_name': 'Negin Golrezaei', 'orcid': 'https://orcid.org/0000-0001-9066-2304'}, 'institutions': [{'id': 'https://openalex.org/I63966007', 'display_name': 'Massachusetts Institute of Technology', 'ror': 'https://ror.org/042nb2s44', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I63966007']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Negin Golrezaei', 'raw_affiliation_strings': ['Massachusetts Institute of Technology, Cambridge, MA, USA'], 'affiliations': [{'raw_affiliation_string': 'Massachusetts Institute of Technology, Cambridge, MA, USA', 'institution_ids': ['https://openalex.org/I63966007']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5049724534', 'display_name': 'Vahideh Manshadi', 'orcid': 'https://orcid.org/0000-0001-9103-7797'}, 'institutions': [{'id': 'https://openalex.org/I32971472', 'display_name': 'Yale University', 'ror': 'https://ror.org/03v76x132', 'country_code': 'US', 'type': 'education', 'lineage': ['https://openalex.org/I32971472']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Vahideh Manshadi', 'raw_affiliation_strings': ['Yale University, New Haven, CT, USA'], 'affiliations': [{'raw_affiliation_string': 'Yale University, New Haven, CT, USA', 'institution_ids': ['https://openalex.org/I32971472']}]}, {'author_position': 'middle', 'author': {'id': 'https://openalex.org/A5022676938', 'display_name': 'Jon Schneider', 'orcid': 'https://orcid.org/0000-0001-5392-3560'}, 'institutions': [{'id': 'https://openalex.org/I1291425158', 'display_name': 'Google (United States)', 'ror': 'https://ror.org/00njsd438', 'country_code': 'US', 'type': 'company', 'lineage': ['https://openalex.org/I1291425158', 'https://openalex.org/I4210128969']}], 'countries': ['US'], 'is_corresponding': False, 'raw_author_name': 'Jon Schneider', 'raw_affiliation_strings': ['Google Research, New York, NY, USA'], 'affiliations': [{'raw_affiliation_string': 'Google Research, New York, NY, USA', 'institution_ids': ['https://openalex.org/I1291425158']}]}, {'author_position': 'last', 'author': {'id': 'https://openalex.org/A5063395120', 'display_name': 'Shreyas Sekar', 'orcid': 'https://orcid.org/0000-0001-8009-9706'}, 'institutions': [{'id': 'https://openalex.org/I185261750', 'display_name': 'University of Toronto', 'ror': 'https://ror.org/03dbr7087', 'country_code': 'CA', 'type': 'education', 'lineage': ['https://openalex.org/I185261750']}], 'countries': ['CA'], 'is_corresponding': False, 'raw_author_name': 'Shreyas Sekar', 'raw_affiliation_strings': ['University of Toronto Scarborough & Rotman School of Management, Toronto, ON, Canada'], 'affiliations': [{'raw_affiliation_string': 'University of Toronto Scarborough & Rotman School of Management, Toronto, ON, Canada', 'institution_ids': ['https://openalex.org/I185261750']}]}], 'institution_assertions': [], 'countries_distinct_count': 2, 'institutions_distinct_count': 4, 'corresponding_author_ids': [], 'corresponding_institution_ids': [], 'apc_list': None, 'apc_paid': None, 'fwci': 1.53, 'has_fulltext': True, 'fulltext_origin': 'pdf', 'cited_by_count': 13, 'citation_normalized_percentile': {'value': 0.999783, 'is_in_top_1_percent': True, 'is_in_top_10_percent': True}, 'cited_by_percentile_year': {'min': 89, 'max': 90}, 'biblio': {'volume': None, 'issue': None, 'first_page': '560', 'last_page': '561'}, 'is_retracted': False, 'is_paratext': False, 'primary_topic': {'id': 'https://openalex.org/T11644', 'display_name': 'Spam and Phishing Detection', 'score': 0.998, '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/T11644', 'display_name': 'Spam and Phishing Detection', 'score': 0.998, '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/T11147', 'display_name': 'Misinformation and Its Impacts', 'score': 0.9743, 'subfield': {'id': 'https://openalex.org/subfields/3312', 'display_name': 'Sociology and Political Science'}, 'field': {'id': 'https://openalex.org/fields/33', 'display_name': 'Social Sciences'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}, {'id': 'https://openalex.org/T12735', 'display_name': 'Blood donation and transfusion practices', 'score': 0.9712, 'subfield': {'id': 'https://openalex.org/subfields/1405', 'display_name': 'Management of Technology and Innovation'}, 'field': {'id': 'https://openalex.org/fields/14', 'display_name': 'Business, Management and Accounting'}, 'domain': {'id': 'https://openalex.org/domains/2', 'display_name': 'Social Sciences'}}], 'keywords': [{'id': 'https://openalex.org/keywords/robustness', 'display_name': 'Robustness', 'score': 0.68202835}, {'id': 'https://openalex.org/keywords/encode', 'display_name': 'ENCODE', 'score': 0.46453172}, {'id': 'https://openalex.org/keywords/learning-to-rank', 'display_name': 'Learning to Rank', 'score': 0.46210775}], 'concepts': [{'id': 'https://openalex.org/C41008148', 'wikidata': 'https://www.wikidata.org/wiki/Q21198', 'display_name': 'Computer science', 'level': 0, 'score': 0.76593065}, {'id': 'https://openalex.org/C184898388', 'wikidata': 'https://www.wikidata.org/wiki/Q1435712', 'display_name': 'Pairwise comparison', 'level': 2, 'score': 0.7459588}, {'id': 'https://openalex.org/C189430467', 'wikidata': 'https://www.wikidata.org/wiki/Q7293293', 'display_name': 'Ranking (information retrieval)', 'level': 2, 'score': 0.7089239}, {'id': 'https://openalex.org/C63479239', 'wikidata': 'https://www.wikidata.org/wiki/Q7353546', 'display_name': 'Robustness (evolution)', 'level': 3, 'score': 0.68202835}, {'id': 'https://openalex.org/C90673727', 'wikidata': 'https://www.wikidata.org/wiki/Q901718', 'display_name': 'Product (mathematics)', 'level': 2, 'score': 0.5321388}, {'id': 'https://openalex.org/C66746571', 'wikidata': 'https://www.wikidata.org/wiki/Q1134833', 'display_name': 'ENCODE', 'level': 3, 'score': 0.46453172}, {'id': 'https://openalex.org/C86037889', 'wikidata': 'https://www.wikidata.org/wiki/Q4330127', 'display_name': 'Learning to rank', 'level': 3, 'score': 0.46210775}, {'id': 'https://openalex.org/C98045186', 'wikidata': 'https://www.wikidata.org/wiki/Q205663', 'display_name': 'Process (computing)', 'level': 2, 'score': 0.4602998}, {'id': 'https://openalex.org/C119857082', 'wikidata': 'https://www.wikidata.org/wiki/Q2539', 'display_name': 'Machine learning', 'level': 1, 'score': 0.43254203}, {'id': 'https://openalex.org/C154945302', 'wikidata': 'https://www.wikidata.org/wiki/Q11660', 'display_name': 'Artificial intelligence', 'level': 1, 'score': 0.3246771}, {'id': 'https://openalex.org/C33923547', 'wikidata': 'https://www.wikidata.org/wiki/Q395', 'display_name': 'Mathematics', 'level': 0, 'score': 0.11126885}, {'id': 'https://openalex.org/C55493867', 'wikidata': 'https://www.wikidata.org/wiki/Q7094', 'display_name': 'Biochemistry', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C185592680', 'wikidata': 'https://www.wikidata.org/wiki/Q2329', 'display_name': 'Chemistry', 'level': 0, 'score': 0.0}, {'id': 'https://openalex.org/C2524010', 'wikidata': 'https://www.wikidata.org/wiki/Q8087', 'display_name': 'Geometry', 'level': 1, 'score': 0.0}, {'id': 'https://openalex.org/C104317684', 'wikidata': 'https://www.wikidata.org/wiki/Q7187', 'display_name': 'Gene', 'level': 2, 'score': 0.0}, {'id': 'https://openalex.org/C111919701', 'wikidata': 'https://www.wikidata.org/wiki/Q9135', 'display_name': 'Operating system', 'level': 1, 'score': 0.0}], 'mesh': [], 'locations_count': 2, 'locations': [{'is_oa': False, 'landing_page_url': 'https://doi.org/10.1145/3465456.3467580', 'pdf_url': None, 'source': None, 'license': None, 'license_id': None, 'version': None, 'is_accepted': False, 'is_published': False}, {'is_oa': True, 'landing_page_url': 'https://arxiv.org/abs/2009.05138', 'pdf_url': 'https://arxiv.org/pdf/2009.05138', 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I205783295', 'host_organization_name': 'Cornell University', 'host_organization_lineage': ['https://openalex.org/I205783295'], 'host_organization_lineage_names': ['Cornell University'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}], 'best_oa_location': {'is_oa': True, 'landing_page_url': 'https://arxiv.org/abs/2009.05138', 'pdf_url': 'https://arxiv.org/pdf/2009.05138', 'source': {'id': 'https://openalex.org/S4306400194', 'display_name': 'arXiv (Cornell University)', 'issn_l': None, 'issn': None, 'is_oa': True, 'is_in_doaj': False, 'is_core': False, 'host_organization': 'https://openalex.org/I205783295', 'host_organization_name': 'Cornell University', 'host_organization_lineage': ['https://openalex.org/I205783295'], 'host_organization_lineage_names': ['Cornell University'], 'type': 'repository'}, 'license': None, 'license_id': None, 'version': 'submittedVersion', 'is_accepted': False, 'is_published': False}, 'sustainable_development_goals': [{'display_name': 'Peace, justice, and strong institutions', 'score': 0.6, 'id': 'https://metadata.un.org/sdg/16'}], 'grants': [], 'datasets': [], 'versions': [], 'referenced_works_count': 0, 'referenced_works': [], 'related_works': ['https://openalex.org/W4390446658', 'https://openalex.org/W4385565564', 'https://openalex.org/W3163984363', 'https://openalex.org/W3127142483', 'https://openalex.org/W3048565508', 'https://openalex.org/W3000057026', 'https://openalex.org/W2898073868', 'https://openalex.org/W2767338541', 'https://openalex.org/W2138488530', 'https://openalex.org/W2011472225'], 'abstract_inverted_index': {'In': [0], 'many': [1], 'online': [2, 256], 'platforms,': [3], "customers'": [4, 31, 233], 'decisions': [5], 'are': [6, 94, 106], 'substantially': [7], 'influenced': [8], 'by': [9, 59, 65, 72, 121, 267], 'product': [10], 'rankings': [11, 118], 'as': [12, 63], 'most': [13], 'customers': [14], 'only': [15], 'examine': [16], 'a': [17, 82, 86, 205, 243], 'few': [18], 'top-ranked': [19], 'products.': [20], 'Concurrently,': [21], 'such': [22, 73, 217], 'platforms': [23, 257], 'also': [24, 188], 'use': [25], 'the': [26, 46, 66, 78, 109, 138, 141, 146, 153, 160, 176, 183, 225, 232, 278, 284, 289], 'same': [27], 'data': [28], 'corresponding': [29], 'to': [30, 33, 54, 115, 159, 175, 182, 214, 283], 'actions': [32], 'learn': [34], 'how': [35], 'these': [36, 167], 'products': [37, 229], 'must': [38], 'be': [39], 'ranked': [40], 'or': [41], 'ordered.': [42], 'These': [43], 'interactions': [44], 'in': [45, 108, 137, 152], 'underlying': [47], 'learning': [48, 104, 131, 241, 270], 'process,': [49], 'however,': [50], 'may': [51], 'incentivize': [52], 'sellers': [53], 'artificially': [55], 'inflate': [56], 'their': [57], 'position': [58], 'employing': [60], 'fake': [61, 91, 112, 122, 149, 163, 290], 'users,': [62, 150], 'exemplified': [64], 'emergence': [67], 'of': [68, 81, 88, 111, 145, 148, 162, 240, 246, 288], 'click': [69], 'farms.': [70], 'Motivated': [71], 'fraudulent': [74, 185, 261], 'behavior,': [75], 'we': [76, 128, 169, 187], 'study': [77], 'ranking': [79], 'problem': [80], 'platform': [83, 142, 279], 'that': [84, 102, 171, 198, 223, 255, 272], 'faces': [85], 'mixture': [87], 'real': [89], 'and': [90, 151, 196, 235, 286], 'users': [92, 262], 'who': [93], 'indistinguishable': [95], 'from': [96, 231], 'one': [97], 'another.': [98], 'We': [99], 'first': [100, 139], 'show': [101, 197], 'existing': [103, 202], 'algorithms---that': [105], 'optimal': [107, 177], 'absence': [110], 'users---may': [113], 'converge': [114, 174], 'highly': [116], 'sub-optimal': [117], 'under': [119, 133], 'manipulation': [120], 'users.': [123, 164, 291], 'To': [124], 'overcome': [125], 'this': [126], 'deficiency,': [127], 'develop': [129], 'efficient': [130, 274], 'algorithms': [132, 173, 271], 'two': [134], 'informational': [135], 'environments:': [136], 'setting,': [140, 155], 'is': [143, 157, 280], 'aware': [144], 'number': [147, 161, 285], 'second': [154], 'it': [156], 'agnostic': [158], 'For': [165], 'both': [166], 'environments,': [168], 'prove': [170], 'our': [172, 194, 208, 252], 'ranking,': [178], 'while': [179], 'being': [180], 'robust': [181], 'aforementioned': [184], 'behavior;': [186], 'present': [189], 'worst-case': [190], 'performance': [191], 'guarantees': [192], 'for': [193], 'methods,': [195], 'they': [199], 'significantly': [200], 'outperform': [201], 'algorithms.': [203], 'At': [204], 'high': [206], 'level,': [207], 'work': [209], 'employs': [210], 'several': [211], 'novel': [212], 'approaches': [213], 'guarantee': [215, 273], 'robustness': [216], 'as:': [218], '(i)': [219], 'constructing': [220], 'product-ordering': [221], 'graphs': [222], 'encode': [224], 'pairwise': [226], 'relationships': [227], 'between': [228, 249], 'inferred': [230], 'actions;': [234], '(ii)': [236], 'implementing': [237], 'multiple': [238], 'levels': [239], 'with': [242], 'judicious': [244], 'amount': [245], 'bi-directional': [247], 'cross-learning': [248], 'levels.': [250], 'Overall,': [251], 'results': [253], 'indicate': [254], 'can': [258], 'effectively': [259], 'combat': [260], 'without': [263], 'incurring': [264], 'large': [265], 'costs': [266], 'designing': [268], 'new': [269], 'convergence': [275], 'even': [276], 'when': [277], 'completely': [281], 'oblivious': [282], 'identity': [287]}, 'cited_by_api_url': 'https://api.openalex.org/works?filter=cites:W3182934104', 'counts_by_year': [{'year': 2024, 'cited_by_count': 1}, {'year': 2023, 'cited_by_count': 2}, {'year': 2022, 'cited_by_count': 4}, {'year': 2021, 'cited_by_count': 1}, {'year': 2020, 'cited_by_count': 3}, {'year': 2019, 'cited_by_count': 2}], 'updated_date': '2025-01-08T14:49:44.091072', 'created_date': '2021-07-19'}