1
|
Polignano M, Lops P, de Gemmis M, Semeraro G. HELENA: An intelligent digital assistant based on a Lifelong Health User Model. Inf Process Manag 2023. [DOI: 10.1016/j.ipm.2022.103124] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
2
|
Biondi G, Marrano N, Borrelli A, Rella M, Palma G, Calderoni I, Siciliano E, Lops P, Giorgino F, Natalicchio A. Adipose Tissue Secretion Pattern Influences β-Cell Wellness in the Transition from Obesity to Type 2 Diabetes. Int J Mol Sci 2022; 23:ijms23105522. [PMID: 35628332 PMCID: PMC9143684 DOI: 10.3390/ijms23105522] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Revised: 05/11/2022] [Accepted: 05/13/2022] [Indexed: 12/10/2022] Open
Abstract
The dysregulation of the β-cell functional mass, which is a reduction in the number of β-cells and their ability to secure adequate insulin secretion, represents a key mechanistic factor leading to the onset of type 2 diabetes (T2D). Obesity is recognised as a leading cause of β-cell loss and dysfunction and a risk factor for T2D. The natural history of β-cell failure in obesity-induced T2D can be divided into three steps: (1) β-cell compensatory hyperplasia and insulin hypersecretion, (2) insulin secretory dysfunction, and (3) loss of β-cell mass. Adipose tissue (AT) secretes many hormones/cytokines (adipokines) and fatty acids that can directly influence β-cell function and viability. As this secretory pattern is altered in obese and diabetic patients, it is expected that the cross-talk between AT and pancreatic β-cells could drive the maintenance of the β-cell integrity under physiological conditions and contribute to the reduction in the β-cell functional mass in a dysmetabolic state. In the current review, we summarise the evidence of the ability of the AT secretome to influence each step of β-cell failure, and attempt to draw a timeline of the alterations in the adipokine secretion pattern in the transition from obesity to T2D that reflects the progressive deterioration of the β-cell functional mass.
Collapse
|
3
|
Iovine A, Lops P, Narducci F, de Gemmis M, Semeraro G. An empirical evaluation of active learning strategies for profile elicitation in a conversational recommender system. J Intell Inf Syst 2021. [DOI: 10.1007/s10844-021-00683-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/01/2022]
|
4
|
Musto C, Narducci F, Polignano M, De Gemmis M, Lops P, Semeraro G. MyrrorBot
: A Digital Assistant Based on Holistic User Models for Personalized Access to Online Services. ACM T INFORM SYST 2021. [DOI: 10.1145/3447679] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
In this article, we present
MyrrorBot
, a
personal digital assistant
implementing a natural language interface that allows the users to: (i) access online services, such as
music, video, news,
and
food recommendation
s, in a
personalized
way, by exploiting a strategy for implicit user modeling called
holistic user profiling
; (ii) query their own user models, to inspect the features encoded in their profiles and to increase their awareness of the personalization process.
Basically, the system allows the users to formulate
natural language
requests related to their information needs. Such needs are roughly classified in two groups:
quantified self-related
needs (e.g.,
Did I sleep enough? Am I extrovert?
) and
personalized access
to online services (e.g.,
Play a song I like
). The
intent recognition
strategy implemented in the platform automatically identifies the intent expressed by the user and forwards the request to specific services and modules that generate an appropriate answer that fulfills the query.
In the experimental evaluation, we evaluated both
qualitative
(users’ acceptance of the system, usability) as well as
quantitative
(time required to complete basic tasks, effectiveness of the personalization strategy) aspects of the system, and the results showed that
MyrrorBot
can improve the way people access online services and applications. This leads to a more effective interaction and paves the way for further development of our system.
Collapse
|
5
|
De Carolis B, de Gemmis M, Lops P, Palestra G. Recognizing users feedback from non-verbal communicative acts in conversational recommender systems. Pattern Recognit Lett 2017. [DOI: 10.1016/j.patrec.2017.06.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
|
6
|
|
7
|
Abstract
Community question answering (CQA) sites use a collaborative paradigm to satisfy complex information needs. Although the task of matching questions to their best answers has been tackled for more than a decade, the social question-answering practice is a complex process. The factors influencing the accuracy of question-answer matching are many and hard to disentangle. We approach the task from an application-oriented perspective, probing the space of several dimensions relevant to this problem: features, algorithms, and topics. We gather under a learning to rank framework the most extensive feature set used in literature to date, including 225 features from five different families. We test the power of such features in predicting the best answer to a question on the largest dataset from Yahoo Answers used for this task so far (40M answers) and provide a faceted analysis of the results along different topical areas and question types. We propose a novel family of distributional semantics measures that most of the time can seamlessly replace widely used linguistic similarity features, being more than one order of magnitude faster to compute and providing greater predictive power. The best feature set reaches an improvement between 11% and 26% in P@1 compared to recent well-established state-of-the-art methods.
Collapse
|
8
|
Basile P, de Gemmis M, Lops P, Semeraro G. Solving a Complex Language Game by Using Knowledge-Based Word Associations Discovery. IEEE Trans Comput Intell AI Games 2016. [DOI: 10.1109/tciaig.2014.2355859] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
|
9
|
|
10
|
|
11
|
|
12
|
Molino P, Lops P, Semeraro G, de Gemmis M, Basile P. Playing with knowledge: A virtual player for “Who Wants to Be a Millionaire?” that leverages question answering techniques. ARTIF INTELL 2015. [DOI: 10.1016/j.artint.2015.02.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
|
13
|
Abstract
Recommender systems have already proved to be valuable for coping with the information overload problem in several application domains. They provide people with suggestions for items which are likely to be of interest for them; hence, a primary function of recommender systems is to help people make good choices and decisions. However, most previous research has focused on recommendation techniques and algorithms, and less attention has been devoted to the decision making processes adopted by the users and possibly supported by the system. There is still a gap between the importance that the community gives to the assessment of recommendation algorithms and the current range of ongoing research activities concerning human decision making. Different decision-psychological phenomena can influence the decision making of users of recommender systems, and research along these lines is becoming increasingly important and popular. This special issue highlights how the coupling of recommendation algorithms with the understanding of human choice and decision making theory has the potential to benefit research and practice on recommender systems and to enable users to achieve a good balance between decision accuracy and decision effort.
Collapse
Affiliation(s)
- Li Chen
- Hong Kong Baptist University
| | | | | | | | | | | |
Collapse
|
14
|
Abstract
The Social Web is now a successful reality with its quickly growing number of users and applications. Also the Semantic Web, which started with the objective of describing Web resources in a machine-processable way, is now outgrowing the research labs and is being massively exploited in many websites, incorporating high-quality user-generated content and semantic annotations. The primary goal of this special section is to showcase some recent research at the intersection of the Social Web and the Semantic Web that explores the benefits that adaptation and personalization have to offer in the Web of the future, the so-called Social Adaptive Semantic Web. We have selected two articles out of fourteen submissions based on the quality of the articles and we present the main lessons learned from the overall analysis of these submissions.
Collapse
|
15
|
Di Mauro N, Frasconi P, Angiulli F, Bacciu D, de Gemmis M, Esposito F, Fanizzi N, Ferilli S, Gori M, Lisi FA, Lops P, Malerba D, Micheli A, Pelillo M, Ricci F, Riguzzi F, Saitta L, Semeraro G. Italian Machine Learning and Data Mining research: The last years. Intelligenza Artificiale 2013. [DOI: 10.3233/ia-130050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
|
16
|
Semeraro G, Basile P, Basili R, de Gemmis M, Ghidini C, Lenzerini M, Lops P, Moschitti A, Musto C, Narducci F, Pipitone A, Pirrone R, Poccianti P, Serafini L. Semantic technologies for industry: From knowledge modeling and integration to intelligent applications. Intelligenza Artificiale 2013. [DOI: 10.3233/ia-130054] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
|
17
|
Buccafurri F, De Meo P, Fugini M, Furnari R, Goy A, Lax G, Lops P, Modafferi S, Pernici B, Redavid D, Semeraro G, Ursino D. Analysis of QoS in cooperative services for real time applications. DATA KNOWL ENG 2008. [DOI: 10.1016/j.datak.2008.08.004] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022]
|
18
|
Mehta B, Niederee C, Stewart A, Degemmis M, Lops P, Semeraro G. Ontologically-Enriched Unified User Modeling for Cross-System Personalization. User Modeling 2005 2005. [DOI: 10.1007/11527886_16] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
|