Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Viet Ha-Thuc"'
Publikováno v:
RecSys
As the recommendation systems behind commercial services scale up and apply more and more sophisticated machine learning models, it becomes important to optimize computational cost (capacity) and runtime latency, besides the traditional objective of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40c5d900e5c99f1620e9c48e895bf1ea
https://doi.org/10.1145/3460231.3474606
https://doi.org/10.1145/3460231.3474606
Publikováno v:
SIGIR
In online marketplaces, an increasing number of producers depend on search and recommendation systems to connect them with consumers to make a living. In this talk, we discuss how these systems will need to evolve from the traditional formulations by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e50c0bbc39dbf5d54ece1b391115315f
https://doi.org/10.1145/3404835.3464924
https://doi.org/10.1145/3404835.3464924
Publikováno v:
SIGIR
Many consumer products are two-sided marketplaces, ranging from commerce products that connect buyers and sellers, such as Amazon, Alibaba, and Facebook Marketplace, to sharing-economy products that connect passengers to drivers or guests to hosts, l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dfcc2317cbc9f6a5f7ed20d6fade3aee
https://doi.org/10.1145/3397271.3401434
https://doi.org/10.1145/3397271.3401434
Publikováno v:
SIGIR
Giving people the power to build community is central to Facebook's mission. Technically, searching for communities poses very different challenges compared to the standard IR problems. First, there is a vocabulary mismatch problem since most of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34253ecaa371f2dc92cc3626de5d5e8f
https://doi.org/10.1145/3331184.3331426
https://doi.org/10.1145/3331184.3331426
Autor:
Viet Ha Thuc, Padmini Srinivasan
Along with the exponential growth of text data on the Web, particularly of the user-generated content, comes an increasing need for hierarchically organizing documents, retrieving documents accurately, and discovering evolutionary trends of various p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f1fbab90c0a38d6fa122252201b63ff
https://doi.org/10.17077/etd.lj87xny2
https://doi.org/10.17077/etd.lj87xny2
Publikováno v:
CIKM
One key challenge in talent search is to translate complex criteria of a hiring position into a search query, while it is relatively easy for a searcher to list examples of suitable candidates for a given position. To improve search efficiency, we pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::232fe9c0c003800e725fbee7215d9490
https://doi.org/10.1145/3132847.3132869
https://doi.org/10.1145/3132847.3132869
Publikováno v:
KDD
This paper proposes an approach to applying standardized entity data to improve job search quality and to make search results more personalized. Specifically, we explore three types of entity-aware features and incorporate them into the job search ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a38e70d3421bdf428e340b1319050e5
https://doi.org/10.1145/2939672.2939721
https://doi.org/10.1145/2939672.2939721
Publikováno v:
SIGIR
Instant search has become a common part of the search experience in most popular search engines and social networking websites. The goal is to provide instant feedback to the user in terms of query completions ("instant suggestions") or directly prov
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80f44ce8684d896bc344e3aea83f3dfd
https://doi.org/10.1145/2911451.2914806
https://doi.org/10.1145/2911451.2914806
Autor:
Shakti Dhirendraji Sinha, Viet Ha-Thuc
Publikováno v:
SIGIR
LinkedIn search is deeply personalized - for the same queries, different searchers expect completely different results. This paper presents our approach to achieving this by mining various data sources available in LinkedIn to infer searchers' intent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e95decb4c2033b850e0159e859be6e18
http://arxiv.org/abs/1605.04624
http://arxiv.org/abs/1605.04624
Autor:
Viet Ha-Thuc, Shakti Dhirendraji Sinha, Yan Yan, Abhishek Gupta, Ye Xu, Satya Pradeep Kanduri, Vijay Dialani, Xianren Wu
Publikováno v:
WWW (Companion Volume)
One key challenge in talent search is how to translate complex criteria of a hiring position into a search query. This typically requires deep knowledge on which skills are typically needed for the position, what are their alternatives, which compani
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b5fa8b83f24b1d5d892d5a739a70156
http://arxiv.org/abs/1602.08186
http://arxiv.org/abs/1602.08186