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Preferences and Similarities

Preferences and Similarities PDF Author: Giacomo Riccia
Publisher: Springer Science & Business Media
ISBN: 3211854320
Category : Computers
Languages : en
Pages : 320

Book Description
The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is caused by the strong impact of vagueness, imprecision, uncertainty and dominance on human and agent information, communication, planning, decision, action, and control as well as by the technical progress of the information technology itself. The topics treated in this book are of interest to computer scientists, statisticians, operations researchers, experts in AI, cognitive psychologists and economists.

Preferences and Similarities

Preferences and Similarities PDF Author: Giacomo Riccia
Publisher: Springer Science & Business Media
ISBN: 3211854320
Category : Computers
Languages : en
Pages : 320

Book Description
The fields of similarity and preference are still broadening due to the exploration of new fields of application. This is caused by the strong impact of vagueness, imprecision, uncertainty and dominance on human and agent information, communication, planning, decision, action, and control as well as by the technical progress of the information technology itself. The topics treated in this book are of interest to computer scientists, statisticians, operations researchers, experts in AI, cognitive psychologists and economists.

Preference, Belief, and Similarity

Preference, Belief, and Similarity PDF Author: Amos Tversky
Publisher: MIT Press
ISBN: 9780262700931
Category : Psychology
Languages : en
Pages : 1040

Book Description
Amos Tversky (1937–1996), a towering figure in cognitive and mathematical psychology, devoted his professional life to the study of similarity, judgment, and decision making. He had a unique ability to master the technicalities of normative ideals and then to intuit and demonstrate experimentally their systematic violation due to the vagaries and consequences of human information processing. He created new areas of study and helped transform disciplines as varied as economics, law, medicine, political science, philosophy, and statistics. This book collects forty of Tversky's articles, selected by him in collaboration with the editor during the last months of Tversky's life. It is divided into three sections: Similarity, Judgment, and Preferences. The Preferences section is subdivided into Probabilistic Models of Choice, Choice under Risk and Uncertainty, and Contingent Preferences. Included are several articles written with his frequent collaborator, Nobel Prize-winning economist Daniel Kahneman.

Perceived Similarities and Preferences for IT Products

Perceived Similarities and Preferences for IT Products PDF Author: Bo Schenkman
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Similarities of Defense Preferences Within Families, Within Sex Groups, and Their Relationship to Parental Identification in Adolescent Males

Similarities of Defense Preferences Within Families, Within Sex Groups, and Their Relationship to Parental Identification in Adolescent Males PDF Author: Mark Herman Thelen
Publisher:
ISBN:
Category : Parent and child
Languages : en
Pages : 132

Book Description


Understanding Preferences and Similarities from User-authored Text

Understanding Preferences and Similarities from User-authored Text PDF Author: Gayatree Ganu
Publisher:
ISBN:
Category : Information retrieval
Languages : en
Pages : 153

Book Description
Users rely increasingly on online reviews, forums and blogs to exchange information, practical tips, and stories. Such social interaction has become central to their daily decision-making processes. However, user-authored content is in a free-text format, usually with very scant structured metadata information. Users often face the daunting task of reading a large quantity of text to discover potentially useful information. This thesis addresses the need to automatically leverage information from user-authored text to improve search and to provide personalized recommendations matching user preferences. We first focus on developing accurate text-based recommendations. We the rich information present in user reviews by identifying the review parts pertaining to different product features and the sentiment expressed towards each feature. We derive text-based ratings which serve as alternate indicators of user assessment of the product. We then cluster similar users based on the topics and sentiments in their reviews. Our results show that using text yields better user preference predictions than those from the coarse star ratings. We also make fine-grained predictions of user sentiments towards the individual product features. In the interactive and social forum sites users frequently make connections with other users, enabling them to find the right person to answer their questions. A challenge then, is to score and rank the short snippets of forum posts while taking into account these personal connections. In this thesis, we learn user similarities via multiple indicators like shared information needs, profiles, or topics of interest. We develop a novel multidimensional model that uniformly incorporates the heterogeneous user relations in finding similar participants, to predict future social interactions and enhance keyword search. Search over user-authored data like forums requires providing results that are as complete as possible and yet are focused on the relevant information. We address this problem by developing a new search paradigm that allows for search results to be retrieved at varying granularity levels. We implement a novel hierarchical representation and scoring technique for objects at multiple granularities. We also present a score optimization algorithm that efficiently chooses the best $k$-sized non-overlapping result set. We conduct extensive user studies and show that a mixed granularity set of results is more relevant to users than standard post-only approaches. In summary, this thesis studies the problems in understanding user behavior from textual content in online reviews and forums. We present efficient techniques to learn user preferences and similarities to enhance search and recommendations.

Children's Preferences Regarding Form and Size Differences as Related to Comparative Similarity Judgements

Children's Preferences Regarding Form and Size Differences as Related to Comparative Similarity Judgements PDF Author: Rachel Schlesinger
Publisher:
ISBN:
Category : Child development
Languages : en
Pages : 230

Book Description


Similarity of Belief Systems and Interpersonal Preference: a Test of Rokeach's Theory of Prejudice

Similarity of Belief Systems and Interpersonal Preference: a Test of Rokeach's Theory of Prejudice PDF Author: David Daniel Stein
Publisher:
ISBN:
Category :
Languages : en
Pages : 440

Book Description


The Development of Sex Differences and Similarities in Behavior

The Development of Sex Differences and Similarities in Behavior PDF Author: Charles Aron
Publisher: Springer Science & Business Media
ISBN: 9780792322368
Category : Medical
Languages : en
Pages : 518

Book Description
This varied and impressive volume is a record of the major presentations at the NATO Advanced Research Workshop on the Development of Sex Differences and Similarities in Behavior held at Chateau de Bonas, Gers, France, July 14-18, 1992."

An Extended Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with Maximizing Deviation Method Based on Integrated Weight Measure for Single-Valued Neutrosophic Sets

An Extended Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) with Maximizing Deviation Method Based on Integrated Weight Measure for Single-Valued Neutrosophic Sets PDF Author: Ganeshsree Selvachandran
Publisher: Infinite Study
ISBN:
Category :
Languages : en
Pages : 17

Book Description
A single-valued neutrosophic set (SVNS) is a special case of a neutrosophic set which is characterized by a truth, indeterminacy, and falsity membership function, each of which lies in the standard interval of [0, 1].

Theoretical and Empirical Relations Between an Individual's Preference and Similarities Space of Brands

Theoretical and Empirical Relations Between an Individual's Preference and Similarities Space of Brands PDF Author: David Jerome Curry
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description