scholarly journals e-TOURISM: A TOURIST RECOMMENDATION AND PLANNING APPLICATION

2009 ◽  
Vol 18 (05) ◽  
pp. 717-738 ◽  
Author(s):  
LAURA SEBASTIA ◽  
INMA GARCIA ◽  
EVA ONAINDIA ◽  
CESAR GUZMAN
Keyword(s):  
Recommender Systems ◽  
Recommender System ◽  
Planning System ◽  
Temporal Characteristics ◽  
Relevant Characteristic ◽  
Demographic Classification ◽  
The City

e-Tourism is a tourist recommendation and planning application to assist users on the organization of a leisure and tourist agenda. First, a recommender system offers the user a list of the city places that are likely of interest to the user. This list takes into account the user demographic classification, the user likes in former trips and the preferences for the current visit. Second, a planning module schedules the list of recommended places according to their temporal characteristics as well as the user restrictions; that is the planning system determines how and when to realize the recommended activities. Having the list of recommended activities organized as an agenda (i.e. an executable plan), is a relevant characteristic that most recommender systems lack.

scholarly journals A CONTEXT-AWARE TOURISM RECOMMENDER SYSTEM BASED ON A SPREADING ACTIVATION METHOD

2017 ◽  
Vol XLII-4/W4 ◽  
pp. 333-339 ◽  
Author(s):  
Z. Bahramian ◽  
R. Ali Abbaspour ◽  
C. Claramunt
Keyword(s):  
Recommender Systems ◽  
Recommender System ◽  
Information Overload ◽  
Contextual Information ◽  
User Profile ◽  
User Preferences ◽  
Activation Technique ◽  
Spreading Activation ◽  
Context Aware ◽  
The City

Users planning a trip to a given destination often search for the most appropriate points of interest location, this being a non-straightforward task as the range of information available is very large and not very well structured. The research presented by this paper introduces a context-aware tourism recommender system that overcomes the information overload problem by providing personalized recommendations based on the user’s preferences. It also incorporates contextual information to improve the recommendation process. As previous context-aware tourism recommender systems suffer from a lack of formal definition to represent contextual information and user’s preferences, the proposed system is enhanced using an ontology approach. We also apply a spreading activation technique to contextualize user preferences and learn the user profile dynamically according to the user’s feedback. The proposed method assigns more effect in the spreading process for nodes which their preference values are assigned directly by the user. The results show the overall performance of the proposed context-aware tourism recommender systems by an experimental application to the city of Tehran.

scholarly journals A Systematic Review of Recommender Systems and Their Applications in Cybersecurity

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5248
Author(s):  
Aleksandra Pawlicka ◽  
Marek Pawlicki ◽  
Rafał Kozik ◽  
Ryszard S. Choraś
Keyword(s):  
Systematic Review ◽  
Recommender Systems ◽  
Recommender System ◽  
State Of The Art ◽  
The State ◽  
Advantages And Disadvantages ◽  
Comprehensive Survey ◽  
Security Concerns ◽  
Valuable Role

This paper discusses the valuable role recommender systems may play in cybersecurity. First, a comprehensive presentation of recommender system types is presented, as well as their advantages and disadvantages, possible applications and security concerns. Then, the paper collects and presents the state of the art concerning the use of recommender systems in cybersecurity; both the existing solutions and future ideas are presented. The contribution of this paper is two-fold: to date, to the best of our knowledge, there has been no work collecting the applications of recommenders for cybersecurity. Moreover, this paper attempts to complete a comprehensive survey of recommender types, after noticing that other works usually mention two–three types at once and neglect the others.

Modelling trust networks using resistive circuits for trust-aware recommender systems

2016 ◽  
Vol 43 (1) ◽  
pp. 135-144 ◽  
Author(s):  
Mehdi Hosseinzadeh Aghdam ◽  
Morteza Analoui ◽  
Peyman Kabiri
Keyword(s):  
Collaborative Filtering ◽  
Recommender Systems ◽  
Recommender System ◽  
Cold Start ◽  
User Preferences ◽  
Item Selection ◽  
Trust Networks ◽  
Trust Inference ◽  
Trust Information

Recommender systems have been widely used for predicting unknown ratings. Collaborative filtering as a recommendation technique uses known ratings for predicting user preferences in the item selection. However, current collaborative filtering methods cannot distinguish malicious users from unknown users. Also, they have serious drawbacks in generating ratings for cold-start users. Trust networks among recommender systems have been proved beneficial to improve the quality and number of predictions. This paper proposes an improved trust-aware recommender system that uses resistive circuits for trust inference. This method uses trust information to produce personalized recommendations. The result of evaluating the proposed method on Epinions dataset shows that this method can significantly improve the accuracy of recommender systems while not reducing the coverage of recommender systems.

scholarly journals Land financialisation, planning informalisation and gentrification as statecraft in Antwerp

Urban Studies ◽  
2021 ◽  
pp. 004209802110282
Author(s):  
Callum Ward
Keyword(s):  
Free Market ◽  
Planning System ◽  
Informal Governance ◽  
Value Capture ◽  
Role Of The State ◽  
Recent Trends ◽  
The City ◽  
Insight Into ◽  
Roll Out

This article offers insight into the role of the state in land financialisation through a reading of urban hegemony. This offers the basis for a conjunctural analysis of the politics of planning within a context in which authoritarian neoliberalism is ascendant across Europe. I explore this through the case of Antwerp as it underwent a hegemonic shift in which the nationalist neoliberal party the New Flemish Alliance (Nieuw-Vlaamse Alliantie; N-VA) ended 70 years of Socialist Party rule and deregulated the city’s technocratic planning system. However, this unbridling of the free market has led to the creation of high-margin investment products rather than suitable housing for the middle classes, raising concerns about the city’s gentrification strategy. The consequent, politicisation of the city’s planning system led to controversy over clientelism which threatened to undermine the N-VA’s wider hegemonic project. In response, the city has sought to roll out a more formalised system of negotiated developer obligations, so embedding transactional, market-oriented informal governance networks at the centre of the planning system. This article highlights how the literature on land financialisation may incorporate conjunctural analysis, in the process situating recent trends towards the use of land value capture mechanisms within the contradictions and statecraft of contemporary neoliberal urbanism.

scholarly journals A New Similarity Measure for User-based Collaborative Filtering in Recommender Systems

2015 ◽  
Vol 14 (9) ◽  
pp. 6118-6128 ◽  
Author(s):  
T. Srikanth ◽  
M. Shashi
Keyword(s):  
Collaborative Filtering ◽  
Recommender Systems ◽  
Similarity Measure ◽  
Recommender System ◽  
Distance Measure ◽  
Current User ◽  
Challenging Problem ◽  
Popular Approach ◽  
Similarity Calculation

Collaborative filtering is a popular approach in recommender Systems that helps users in identifying the items they may like in a wagon of items. Finding similarity among users with the available item ratings so as to predict rating(s) for unseen item(s) based on the preferences of likeminded users for the current user is a challenging problem. Traditional measures like Cosine similarity and Pearson correlation’s correlation exhibit some drawbacks in similarity calculation. This paper presents a new similarity measure which improves the performance of Recommender System. Experimental results on MovieLens dataset show that our proposed distance measure improves the quality of prediction. We present clustering results as an extension to validate the effectiveness of our proposed method.

scholarly journals After Planning, the Production of Radical Social Space in Barcelona: Real-Estate Financial Circuit and (De Facto) Right to the City

2018 ◽  
Vol 3 (3) ◽  
pp. 83-104
Author(s):  
Pedro Jiménez-Pacheco
Keyword(s):  
Real Estate ◽  
Social Space ◽  
Planning System ◽  
Right To The City ◽  
Previous Knowledge ◽  
The Real Estate ◽  
Starting Point ◽  
The City ◽  
Theoretical Apparatus

This article is based on the premise that it is possible to apply Henri Lefebvre’s critical-theoretical apparatus to complex urban processes as a pedagogical case study. From previous knowledge of Lefebvrian thought, the article provides an overview of what Lefebvre called “the science of the use of social space”, supported by a transdisciplinary methodological plurality. The starting point is that neoliberal social space is produced, prepared, and led to the imminent urban post-neoliberalism, in the midst of this movement, a sophisticated planning system appears, with the old promise of service tradition, egalitarian ethics and pragmatic orientation. But in practice, it only reproduces the impotence of being inside a wave of localized surplus-benefits that expels human residues, avoiding any reaction. The Lefebvrian apparatus and a part of its theoretical tradition guide the research on Barcelona as a paradigm of global real-estate violence. This urban phenomenon is examined in central Barcelona, in order to rescue it from the pessimism of its own inhabitants, from the harsh perception that urban centrality no longer reproduces life. In this way, the article puts into operation an analytical tool designed to sabotage the real-estate circuit through a renewed right to the production of radical social space.

scholarly journals Syn Rec: A Prediction Technique using Collaborative Filtering and Synergy Score

2019 ◽  
Vol 8 (5S3) ◽  
pp. 457-463
Keyword(s):  
Social Interactions ◽  
Collaborative Filtering ◽  
Recommender Systems ◽  
Recommender System ◽  
Effective Technique ◽  
Novel Technique ◽  
Trust Relation ◽  
Prediction Technique ◽  
User Trust

Recommender systems are techniques designed to produce personalized recommendations. Data sparsity, scalability cold start and quality of prediction are some of the problems faced by a recommender system. Traditional recommender systems consider that all the users are independent and identical, its an assumption which leads to a total ignorance of social interactions and trust among user. Trust relation among users ease the work of recommender systems to produce better quality of recommendations. In this paper, an effective technique is proposed using trust factor extracted with help of ratings given so that quality can be improved and better predictions can be done. A novel-technique has been proposed for recommender system using film-trust dataset and its effectiveness has been justified with the help of experiments.

scholarly journals Nueva York 1916. La ciudad sin límites | New York 1916. Unlimited city

ZARCH ◽  
2017 ◽  
pp. 90
Author(s):  
José Durán Fernández
Keyword(s):  
New York ◽  
Twentieth Century ◽  
New York City ◽  
Urban Planning ◽  
20Th Century ◽  
Urban Space ◽  
York City ◽  
Planning System ◽  
Siglo Xx ◽  
The City

La Ciudad de Nueva York fue pionera en la aplicación de un sistema de planificación de control urbano que pusiera orden y concierto a una ciudad que rebasa los 5 millones de habitantes a principios del siglo XX. Tal complejo organismo urbano, inédito hasta ese momento, fue objeto del más ambicioso plan urbano sobre una ciudad construida.Este artículo se destina al estudio de este originario plan urbano de 1916, el cual sentaría las bases, unas ciertamente visionarias otras excesivas, de la construcción de la Ciudad de Nueva York en todo el siglo XX. La Building Zone Resolution se creó con dos fines: resolver los problemas de congestión humana en un espacio reducido, la ciudad del presente, y proponer una visión del espacio urbano en las décadas venideras, la ciudad del futuro.El artículo es un compendio de diez textos cortos y un epílogo, que junto a sus respectivos diez documentos gráficos, construyen el corpus de la investigación. El lector pues se enfrenta a un ensayo gráfico formado por pequeños capítulos que le sumergirán en los orígenes de la primera ciudad vertical de la historia.PALABRAS CLAVE: Nueva York; Planeamiento; Visión urbana.The city of New York was a pioneer in the implementation of an urban control planning system that set in order a city that exceeds five million people in the early twentieth century. Such complex urban organism – invaluable until that moment – was the target for the most ambitious urban planning on a built city.This paper focuses on the study of this initial urban planning from 1916, which would set the basis, certainly some visionary yet others excessive, for the building of New York City throughout the 20th century. The Building Zone Resolution was created with two purposes: to solve the issues related to the human bundle in a limited space, the city of the present, and to aim a vision of the urban space in the forthcoming decades, the city of the future.The article is a compendium of ten short texts and one epilogue, which in combination with ten graphic documents, frame the corpus of this investigation. Thus, the reader will face a graphic essay composed by a series of brief chapters that highlight the beginning of the first vertical city in history.KEYWORDS: New York; Planning; Urban vision.

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