Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Riku Togashi"'
Publikováno v:
IEEE Access, Vol 10, Pp 120023-120034 (2022)
There is increasing interest in the use of multimodal data in various web applications, such as digital advertising and e-commerce. Typical methods for extracting important information from multimodal data rely on a mid-fusion architecture that combi
Externí odkaz:
https://doaj.org/article/edeadd9e92c2405a910487d347560b7d
Bandit algorithms for online learning to rank (OLTR) problems often aim to maximize long-term revenue by utilizing user feedback. From a practical point of view, however, such algorithms have a high risk of hurting user experience due to their aggres
Externí odkaz:
http://arxiv.org/abs/2305.01202
Evaluation measures have a crucial impact on the direction of research. Therefore, it is of utmost importance to develop appropriate and reliable evaluation measures for new applications where conventional measures are not well suited. Video Moment R
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8a909d44a32941773b75fd93fc6357ef
http://urn.fi/urn:nbn:fi-fe202301245396
http://urn.fi/urn:nbn:fi-fe202301245396
Learning from implicit feedback is challenging because of the difficult nature of the one-class problem: we can observe only positive examples. Most conventional methods use a pairwise ranking approach and negative samplers to cope with the one-class
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ebc44d8464c5fccef5ad787bede975f8
http://arxiv.org/abs/2105.04769
http://arxiv.org/abs/2105.04769
Publikováno v:
WWW
Learning from implicit user feedback is challenging as we can only observe positive samples but never access negative ones. Most conventional methods cope with this issue by adopting a pairwise ranking approach with negative sampling. However, the pa
Autor:
Tetsuya Sakai, Riku Togashi
Publikováno v:
SIGIR
In product-to-product search and recommendation, the product image often plays a pivotal role for the user to determine the relevance of that product. The present study investigates the relationship between the users' visual intents (in terms of colo
Publikováno v:
ICMR
Product image search is required to deal with large target image datasets which are frequently updated, and therefore it is not always practical to maintain exhaustive and up-to-date relevance assessments for tuning and evaluating the search engine.
Publikováno v:
WSDM
Solving cold-start problems is indispensable to provide meaningful recommendation results for new users and items. Under sparsely observed data, unobserved user-item pairs are also a vital source for distilling latent users' information needs. Most p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a52b3f8bf4f14e5a4ceffeab39d2fabe
Publikováno v:
ICTAI
E-commerce companies often provide marketing incentives such as price discount coupons to motivate new customers to make their first purchase. However, many customers make purchases only when coupons are distributed to them; they stop making purchase
Autor:
Riku Togashi, Tetsuya Sakai
Publikováno v:
ICTIR
We propose a new ranking evaluation measure for situations where multiple preference judgements are given for each item pair but they may be noisy (i.e., some judgements are unreliable) and/or incomplete (i.e., some judgements are missing). While it