Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Huiji Gao"'
Publikováno v:
IEEE Access, Vol 8, Pp 199882-199898 (2020)
With the rapid development of network infrastructures and personal electronic products, big data generated from the Internet, sensing networks, and other equipment are rapidly growing and have received increasing attention in recent years. Recently,
Externí odkaz:
https://doaj.org/article/a1108a7f7db4479ebad66ede5dccf570
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 6:114-121
Location-based social networks (LBSNs) have become a popular form of social media in recent years. They provide location related services that allow users to "check-in'' at geographical locations and share such experiences with their friends. Million
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e06cc86117fa4358bb69606b368408f
https://doi.org/10.1609/icwsm.v6i1.14240
https://doi.org/10.1609/icwsm.v6i1.14240
Autor:
Jun Shi, Chengming Jiang, Aman Gupta, Mingzhou Zhou, Yunbo Ouyang, Qiang Charles Xiao, Qingquan Song, Yi (Alice) Wu, Haichao Wei, Huiji Gao
Publikováno v:
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::171ac2e511643ff0477c80f125d31942
https://doi.org/10.1145/3534678.3539103
https://doi.org/10.1145/3534678.3539103
Autor:
Haochen Liu, Sida Wang, Weiwei Guo, Jiliang Tang, Bo Long, Jun Shi, Xiangyu Zhao, Hui Liu, Huiji Gao
Publikováno v:
WWW
Practical large-scale recommender systems usually contain thousands of feature fields from users, items, contextual information, and their interactions. Most of them empirically allocate a unified dimension to all feature fields, which is memory inef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3843a260bed773204b4f349abc0cbe5b
https://doi.org/10.1145/3442381.3450124
https://doi.org/10.1145/3442381.3450124
Publikováno v:
CIKM
As the largest professional network, LinkedIn hosts millions of user profiles and job postings. Users effectively find what they need by entering search queries. However, finding what they are looking for can be a challenge, especially if they are un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4bc3377191e022877f789b849b240022
https://doi.org/10.1145/3340531.3412714
https://doi.org/10.1145/3340531.3412714
Publikováno v:
CIKM
Query Auto Completion (QAC), as the starting point of information retrieval tasks, is critical to user experience. Generally it has two steps: generating completed query candidates according to query prefixes, and ranking them based on extracted feat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c290809bb133e9bb9a2f1c1a60b9ac0f
https://doi.org/10.1145/3340531.3412701
https://doi.org/10.1145/3340531.3412701
Autor:
Ananth Sankar, Weiwei Guo, Guo Qi, Bee-Chung Chen, Liang Zhang, Xiaowei Liu, Huiji Gao, Zimeng Yang, Sida Wang, Deepak Agarwal, Bo Long
Publikováno v:
CIKM
Ranking is the most important component in a search system. Mostsearch systems deal with large amounts of natural language data,hence an effective ranking system requires a deep understandingof text semantics. Recently, deep learning based natural la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::613347756567273b561b2b47ab2b5a21
https://doi.org/10.1145/3340531.3412699
https://doi.org/10.1145/3340531.3412699
Autor:
Weiwei Guo, Zhoutong Fu, Mingzhou Zhou, Xiaowei Liu, Huiji Gao, Sandeep Kumar Jha, Jun Jia, Jun Shi, Sida Wang, Bo Long
Publikováno v:
KDD
In this talk, we will go over the components of personalized search and recommender systems and demonstrate the applications of various deep learning techniques along the way. Search and recommender systems are probably the most prevalent ML powered
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0671ba316d3f4e1973e72e6976c530d
https://doi.org/10.1145/3394486.3406709
https://doi.org/10.1145/3394486.3406709
Publikováno v:
SIGIR
With the exponential growth of information on the internet, users have been relying on search engines for finding the precise documents. However, user queries are often short. The inherent ambiguity of short queries imposes great challenges for searc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::651d1bd130f9c955c964e153bd792c11
https://doi.org/10.1145/3397271.3401331
https://doi.org/10.1145/3397271.3401331
Publikováno v:
SIGIR
Search and recommender systems process rich natural language text data such as user queries and documents. Achieving high-quality search and recommendation results requires processing and understanding such information effectively and efficiently, wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fbd04e63d4c57c9812168bc462783a7
https://doi.org/10.1145/3397271.3401465
https://doi.org/10.1145/3397271.3401465