47 Result(s)

Article

A generic framework for efficient computation of top-k diverse results

Result diversification is extensively studied in the context of search, recommendation, and data exploration. There are numerous algorithms that return top-k results that are both diverse and relevant. These algo...

Md Mouinul Islam, Mahsa Asadi, Sihem Amer-Yahia, Senjuti Basu Roy in The VLDB Journal (2023)

Article

Diversifying recommendations on sequences of sets

Diversifying recommendations on a sequence of sets (or sessions) of items captures a variety of applications. Notable examples include recommending online music playlists, where a session is a channel and mult...

Sepideh Nikookar, Mohammadreza Esfandiari, Ria Mae Borromeo… in The VLDB Journal (2023)

Chapter

Optimizing Data Coverage and Significance in Multiple Hypothesis Testing on User Groups

We tackle the question of checking hypotheses on user data. In particular, we address the challenges that arise in the context of testing an input hypothesis on many data samples, in our case, user groups. Thi...

Nassim Bouarour, Idir Benouaret… in Transactions on Large-Scale Data- and Know… (2022)

Article

Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts

As more data is generated from medical attendances and as Artificial Neural Networks gain momentum in research and industry, computer-aided medical prognosis has become a promising technology. A common approac...

Jamil Zaghir, Jose F Rodrigues-Jr… in Journal of Healthcare Informatics Research (2021)

Article

DermaDL: Advanced Convolutional Neural Networks for Computer-Aided Skin-Lesion Classification

Early identification of the type of skin lesion, some of them carcinogenic, is of paramount importance. Currently, the use of Convolutional Neural Networks (CNNs) is the mainline of investigation for the autom...

Daniel M. Lima, Jose F. Rodrigues-Jr, Bruno Brandoli… in SN Computer Science (2021)

Chapter and Conference Paper

Multi-Objective Recommendations and Promotions at TOTAL

In this paper, we revisit the semantics of recommendations and promotional offers using multi-objective optimization principles. We investigate two formulations of product recommendation that go beyond traditi...

Idir Benouaret, Mohamed Bouadi… in Database and Expert Systems Applications (2021)

Article

Cohort analytics: efficiency and applicability

The abundant availability of health-care data calls for effective analysis methods to help medical experts gain a better understanding of their patients and their health. The focus of existing work has been la...

Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Laks V. S. Lakshmanan in The VLDB Journal (2020)

Chapter and Conference Paper

Data Pipelines for Personalized Exploration of Rated Datasets

Rated datasets are characterized by a combination of user demographics such as age and occupation, and user actions such as rating a movie or reviewing a book. Their exploration can greatly benefit end-users i...

Sihem Amer-Yahia, Anh Tho Le, Eric Simon in Bias and Social Aspects in Search and Reco… (2020)

Chapter

Enabling Decision Support Through Ranking and Summarization of Association Rules for TOTAL Customers

Our focus in this experimental analysis paper is to investigate existing measures that are available to rank association rules and understand how they can be augmented further to enable real-world decision sup...

Idir Benouaret, Sihem Amer-Yahia… in Transactions on Large-Scale Data- and Know… (2020)

Article

User group analytics: hypothesis generation and exploratory analysis of user data

User data is becoming increasingly available in multiple domains ranging from the social Web to retail store receipts. User data is described by user demographics (e.g., age, gender, occupation) and user actio...

Behrooz Omidvar-Tehrani, Sihem Amer-Yahia, Ria Mae Borromeo in The VLDB Journal (2019)

Article

Optimized group formation for solving collaborative tasks

Many popular applications, such as collaborative document editing, sentence translation, or citizen science, resort to collaborative crowdsourcing, a special form of human-based computing, where, crowd workers...

Habibur Rahman, Senjuti Basu Roy, Saravanan Thirumuruganathan… in The VLDB Journal (2019)

Chapter and Conference Paper

An Efficient Greedy Algorithm for Sequence Recommendation

Recommending a sequence of items that maximizes some objective func...

Idir Benouaret, Sihem Amer-Yahia… in Database and Expert Systems Applications (2019)

Reference Work Entry In depth

Social Media Analytics

Sihem Amer-Yahia, Alexandre Termier… in Encyclopedia of Database Systems (2018)

Reference Work Entry In depth

Structure Analytics in Social Media

Sihem Amer-Yahia, Mahashweta Das, Gautam Das… in Encyclopedia of Database Systems (2018)

Reference Work Entry In depth

Text Analytics in Social Media

Sihem Amer-Yahia, Sofiane Abbar, Noha Ibrahim in Encyclopedia of Database Systems (2018)