Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Surya Kallumadi"'
Publikováno v:
Companion Proceedings of the ACM Web Conference 2023.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc5fc1256e6a4c6338c7af87cbbb8abc
https://doi.org/10.1145/3543873.3584642
https://doi.org/10.1145/3543873.3584642
Autor:
Ajinkya Kale, Surya Kallumadi, Tracy Holloway King, Shervin Malmasi, Maarten de Rijke, Jacopo Tagliabue
Publikováno v:
Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::52f68c5499e681c2491c12b216c79493
https://doi.org/10.1145/3477495.3531701
https://doi.org/10.1145/3477495.3531701
Publikováno v:
SIGIR Forum, 54(1):2. Association for Computing Machinery (ACM)
With the rapid adoption of online shopping, academic research in the eCommerce domain has gained traction. However, significant research challenges remain, spanning from classic eCommerce search problems such as matching textual queries to multi-moda
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb613d38ca1b649befe09514dc5d3f93
https://doi.org/10.1145/3451964.3451966
https://doi.org/10.1145/3451964.3451966
Autor:
Khalifeh Al Jadda, Sayyed M. Zahiri, Surya Kallumadi, Jianghong Zhou, Simon Hughes, Eugene Agichtein
Publikováno v:
Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval.
Users' clicks on Web search results are one of the key signals for evaluating and improving web search quality and have been widely used as part of current state-of-the-art Learning-To-Rank(LTR) models. With a large volume of search logs available fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d3fc89fd14fb1a24db1387a32913723
https://doi.org/10.1145/3404835.3463228
https://doi.org/10.1145/3404835.3463228
Autor:
Khalifeh Al Jadda, Eugene Agichtein, Simon Hughes, Ali Ahmadvand, Surya Kallumadi, Sayyed M. Zahiri
Publikováno v:
SIGIR
Query categorization is an essential part of query intent understanding in e-commerce search. A common query categorization task is to select the relevant fine-grained product categories in a product taxonomy. For frequent queries, rich customer beha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d9d454b6860d1a5df2c577d0abd0243b
http://arxiv.org/abs/2104.11384
http://arxiv.org/abs/2104.11384
In search and recommendation, diversifying the multi-aspect search results could help with reducing redundancy, and promoting results that might not be shown otherwise. Many previous methods have been proposed for this task. However, previous methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::64fb68c6a2c093e99e53aa35a3b36da3
Publikováno v:
SIGIR
SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada, 2685-2688
STARTPAGE=2685;ENDPAGE=2688;TITLE=SIGIR '21
SIGIR '21: proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval : July 11-15, 2021, virtual event, Canada, 2685-2688
STARTPAGE=2685;ENDPAGE=2688;TITLE=SIGIR '21
eCommerce Information Retrieval (IR) is receiving increasing attention in the academic literature and is an essential component of some of the world's largest web sites (e.g., Airbnb, Alibaba, Amazon, eBay, Facebook, Flipkart, Lowe's, Taobao, and Tar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dc73087a980d08a34e3c5e52166257a2
https://dare.uva.nl/personal/pure/en/publications/ecom21-the-sigir-2021-workshop-on-ecommerce(ad486540-706c-458b-867c-ad063abae5e7).html
https://dare.uva.nl/personal/pure/en/publications/ecom21-the-sigir-2021-workshop-on-ecommerce(ad486540-706c-458b-867c-ad063abae5e7).html
Publikováno v:
SIGIR
An accurate understanding of a user's query intent can help improve the performance of downstream tasks such as query scoping and ranking. In the e-commerce domain, recent work in query understanding focuses on the query to product-category mapping.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::05691560e1bb648f604c1a45df15dd8c
https://doi.org/10.1145/3397271.3401184
https://doi.org/10.1145/3397271.3401184
Publikováno v:
SIGIR
eCommerce Information Retrieval (IR) is receiving increasing attention in the academic literature and is an essential component of some of the largest web sites (e.g. Amazon, Alibaba, Taobao, eBay, Airbnb, Target, Facebook). eCommerce organisations c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2219e60700149e7edae1f36c48e31061
https://doi.org/10.1145/3397271.3401464
https://doi.org/10.1145/3397271.3401464
Publikováno v:
WSDM
Conversational systems have improved dramatically recently, and are receiving increasing attention in academic literature. These systems are also becoming adapted in E-Commerce due to increased integration of E-Commerce search and recommendation sour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b2cbdaa0ec0b577efe47192035babf0
https://doi.org/10.1145/3336191.3371882
https://doi.org/10.1145/3336191.3371882