Results 51 to 60 of about 201,081 (282)

Collaborative Deep Learning for Recommender Systems [PDF]

, 2015
Collaborative filtering (CF) is a successful approach commonly used by many recommender systems. Conventional CF-based methods use the ratings given to items by users as the sole source of information for learning to make recommendation.
Baldi P., Bengio Y., Bishop C. M., Chen M., Georgiev K., Hu L., Krizhevsky A., Mikolov T., Oord A. V. D., Purushotham S., Rendle S., Salakhutdinov R., Salakhutdinov R., Wager S., Wang H., Wang H., Wang N.   +16 more
core   +1 more source

An Algorithm for Density Enrichment of Sparse Collaborative Filtering Datasets Using Robust Predictions as Derived Ratings

Algorithms, 2020
Collaborative filtering algorithms formulate personalized recommendations for a user, first by analysing already entered ratings to identify other users with similar tastes to the user (termed as near neighbours), and then using the opinions of the near ...
Dionisis Margaris, Dimitris Spiliotopoulos, Gregory Karagiorgos, Costas Vassilakis   +3 more
doaj   +1 more source

Variational Autoencoders for Collaborative Filtering

, 2018
We extend variational autoencoders (VAEs) to collaborative filtering for implicit feedback. This non-linear probabilistic model enables us to go beyond the limited modeling capacity of linear factor models which still largely dominate collaborative ...
Hoffman, Matthew D., Jebara, Tony, Krishnan, Rahul G., Liang, Dawen   +3 more
core   +1 more source

Exploiting sparsity to build efficient kernel based collaborative filtering for top-N item recommendation [PDF]

, 2016
The increasing availability of implicit feedback datasets has raised the interest in developing effective collaborative filtering techniques able to deal asymmetrically with unambiguous positive feedback and ambiguous negative feedback. In this paper, we
AIOLLI, FABIO, POLATO, MIRKO
core   +2 more sources

Heterozygous loss‐of‐function alleles associate the conserved 3′‐5′ exoribonuclease EXOSC10 with hypersensitivity to the anticancer drug 5‐fluorouracil

Molecular Oncology, EarlyView.
EXOSC10, an essential nuclear RNA exosome‐associated 3′‐5′ exoribonuclease, is inhibited by the anticancer drug 5‐fluorouracil (5‐FU), and EXOSC10 depletion increases 5‐FU sensitivity. The colon‐cancer variant EXOSC10S402T, located in a proteolysis motif, is stable and nuclear but nonfunctional in vivo.
Radhika Sain, Yann Le Page, Frédéric Percevault, Emmanuelle Becker, Luc Negroni, Almudena Fernandez, Marta Cantero, Diego Muñoz‐Santos, Lluís Montoliu, Cyrille Garnier, Michael Primig   +10 more
wiley   +1 more source

Analysing Compression Techniques for In-Memory Collaborative Filtering [PDF]

, 2015
Following the recent trend of in-memory data processing, it is a usual practice to maintain collaborative filtering data in the main memory when generating recommendations in academic and industrial recommender systems.
Macdonald, Craig, Ounis, Iadh, Vargas, Saul   +2 more
core  

Collaborative Filtering CAPTCHAs [PDF]

, 2005
Current CAPTCHAs require users to solve objective questions such as text recognition or image recognition. We propose a class of CAPTCHAs based on collaborative filtering. Collaborative filtering CAPTCHAs allow us to ask questions that have no absolute answer; instead, the CAPTCHAs are graded by comparison to other people’s answers.
Monica Chew, J. D. Tygar
openaire   +1 more source

Disentangled Graph Collaborative Filtering [PDF]

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020
SIGIR ...
Xiang Wang 0010, Hongye Jin, An Zhang 0003, Xiangnan He 0001, Tong Xu 0001, Tat-Seng Chua   +5 more
openaire   +2 more sources

Longitudinal circulating tumor DNA profiling in patients with advanced endometrial cancer using an off‐the‐shelf targeted NGS panel

Molecular Oncology, EarlyView.
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena, Karin Teien Lande, Eva Diaz, Ana Vilar, Juan Cueva, Efigenia Arias, Victoria Sampayo, Alicia Abalo, Nerea González, Eva Colás, Antonio Gil‐Moreno, Miguel Abal, Gema Moreno‐Bueno, Therese Sørlie, Kristina Lindemann, Laura Muinelo‐Romay   +15 more
wiley   +1 more source

Heterogeneous Collaborative Filtering

CoRR, 2019
Recommendation system is important to a content sharing/creating social network. Collaborative filtering is a widely-adopted technology in conventional recommenders, which is based on similarity between positively engaged content items involving the same users.
Yifang Liu, Zhentao Xu, Cong Hui, Yi Xuan, Jessie Chen, Yuanming Shan   +5 more
openaire   +2 more sources