Finding effectors in social networks

T Lappas, E Terzi, D Gunopulos… - Proceedings of the 16th …, 2010 - dl.acm.org
Assume a network (V, E) where a subset of the nodes in V are active. We consider the
problem of selecting a set of k active nodes that best explain the observed activation state …

Personalized recommendation driven by information flow

X Song, BL Tseng, CY Lin, MT Sun - Proceedings of the 29th annual …, 2006 - dl.acm.org
We propose that the information access behavior of a group of people can be modeled as
an information flow issue, in which people intentionally or unintentionally influence and …

Rating customers according to their promptness to adopt new products

DS Hochbaum, E Moreno-Centeno… - Operations …, 2011 - pubsonline.informs.org
Databases are a significant source of information in organizations and play a major role in
managerial decision-making. This study considers how to process commercial data on …

[PDF][PDF] Improved neighborhood search for collaborative filtering

Y Chung, N Kim, C Park, JH Lee - International Journal of …, 2018 - pdfs.semanticscholar.org
Abstract k-Nearest Neighbor (k-NN) and other user-based collaborative filtering (CF)
algorithms have gained popularity because of the simplicity of their algorithms and …

Determining user expertise for improving recommendation performance

S Song, S Lee, S Park, S Lee - … of the 6th International Conference on …, 2012 - dl.acm.org
Recommender systems are designed to predict user preference for items using his/her past
activities. Predominant studies have focused on modeling and developing recommendation …

[PDF][PDF] Classification of email messages into topics using latent dirichlet allocation

C Ozcaglar - 2008 - dspace.rpi.edu
ABSTRACT Latent Dirichlet Allocation (LDA) is generative probabilistic framework to model
and summarize large document collections in an unsupervised fashion. Documents in the …

Finding links and initiators: A graph-reconstruction problem

H Mannila, E Terzi - Proceedings of the 2009 SIAM International …, 2009 - SIAM
Consider a 0–1 observation matrix M, where rows correspond to entities and columns
correspond to signals; a value of 1 (or 0) in cell (i, j) of M indicates that signal j has been …

Extracting innovative buyers by scoring using Innovator Theory

R Iwata, K Kuramoto, K Matsumoto… - International Review of …, 2020 - search.proquest.com
For companies that want to sell a high volume of products, it is important to identify
innovative buyers to help with product marketing efforts. The purpose of this paper is to …

Detecting Chasms and Cracks Using Innovator Scores and Agent Interactions

R Iwata, K Kuramoto, S Kumagai - International Review of …, 2022 - econjournals.com.tr
In chasm theory, it is found from field data that many new products have an initial sales peak
followed by a decline. In some cases, this decline lasts for a long period of time, which is …

Extracting Potential Innovators Using Innovator Scores and Naive Bayes Classifier

R Iwata, K Kuramoto, S Kumagai - 2021 IEEE 10th Global …, 2021 - ieeexplore.ieee.org
It is important to effectively penetrate a market with products in marketing of convenience
products such as foods with short life cycles. It can be said that as products penetrate …