Serendipity in the city: User evaluations of urban recommender systems

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.

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A MULTI CRITERIA RECOMMENDATION MODEL FOR JAUNT

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-4-w18-879-2019 ◽

2019 ◽

Vol XLII-4/W18 ◽

pp. 879-884

Author(s):

A. Razavi ◽

F. Hosseinali

Keyword(s):

Recommender Systems ◽

Automated System ◽

Background Information ◽

Board Game ◽

Considerable Time ◽

Short Term ◽

The Cost ◽

Mixed Groups ◽

The City

Abstract. Nowadays, people in most parts of the world always visit, travel and have fun in their cities or other cities, and they spend considerable time and money in their city or in other cities as a tourist. The existence of an intelligent and automated system that can provide the most suitable recreational and cultural offerings at any time and place, with regard to financial capability and time and transport constraints, as well as individual interests and personalization; has always been felt. Recommender systems can be used to suggest suitable recreational options for the user. The main difference between the recommendation model in this study and the previous models is to focus on the short-term planning of a few hours for one day. Previous models were often based on planning a few days a week or days of the month. Also, the cost factor has been considered in this research, which has been less considered in previous models. We used collaborative filtering based on logistic regression to predict whether a type of places is a proper proposition to a user or not. Our case study is about recommending the board game cafés in the city of Kerman, Iran and the result shows that mixed groups between 15 to 30 years old are the best target and our model can predict if board game café is a good suggestion to different users. We used correlation based recommender systems when board game cafes are a proper suggestion for a user and there are at least two options for the user. In case there is no information about the user and his previous rating, popularity based recommender system can be useful. We also used content based recommender systems to give recommendations by having some background information about previous itineraries of a user and his rating to those.

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A System for Multi-Passenger Urban Ridesharing Recommendations with Ordered Multiple Stops

The Computer Journal ◽

10.1093/comjnl/bxz009 ◽

2019 ◽

Vol 63 (5) ◽

pp. 657-687

Author(s):

Eleonora D’Andrea ◽

Beatrice Lazzerini ◽

Francesco Marcelloni

Keyword(s):

Air Pollution ◽

Recommender Systems ◽

Shortest Path ◽

Directed Acyclic Graph ◽

Matching Criterion ◽

Acyclic Graph ◽

Ordering Constraints ◽

The City

Abstract Traffic and air pollution caused by the increasing number of cars have become important issues in nowadays cities. A possible solution is to employ recommender systems for efficient ridesharing among users. These systems, however, typically do not allow specifying ordered stops, thus preventing a large amount of possible users from exploiting ridesharing, e.g. parents leaving kids at school while going to work. Indeed, if a parent desired to share a ride, he/she would need to indicate the following constraint in the path: the stop at school should precede the stop at work. In this paper, we propose a ridesharing recommender, which allows each user to specify an ordered list of stops and suggests efficient ride matches. The ride-matching criterion is based on a dissimilarity between the driver’s path and the shared path, computed as the shortest path on a directed acyclic graph with ordering constraints between the stops defined in the single paths. The dissimilarity value is the detour requested to the driver to visit also the stops of the paths involved in the ride-share, respecting the visiting order of the stops within each path. Results are presented on a case study involving the city of Pisa.

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

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-archives-xlii-4-w4-333-2017 ◽

2017 ◽

Vol XLII-4/W4 ◽

pp. 333-339 ◽

Cited By ~ 7

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.

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Hospitals: N.Y. Appellate Court Denies Move to Privatize Public Hospital

The Journal of Law Medicine & Ethics ◽

10.1017/s1073110500012961 ◽

1999 ◽

Vol 27 (2) ◽

pp. 202-203

Author(s):

Robert Chatham

Keyword(s):

New York ◽

New York City ◽

York City ◽

Public Health System ◽

Municipal Hospital ◽

The Public ◽

Public Benefit ◽

For Profit ◽

Benefit Corporation ◽

The City

The Court of Appeals of New York held, in Council of the City of New York u. Giuliani, slip op. 02634, 1999 WL 179257 (N.Y. Mar. 30, 1999), that New York City may not privatize a public city hospital without state statutory authorization. The court found invalid a sublease of a municipal hospital operated by a public benefit corporation to a private, for-profit entity. The court reasoned that the controlling statute prescribed the operation of a municipal hospital as a government function that must be fulfilled by the public benefit corporation as long as it exists, and nothing short of legislative action could put an end to the corporation's existence.In 1969, the New York State legislature enacted the Health and Hospitals Corporation Act (HHCA), establishing the New York City Health and Hospitals Corporation (HHC) as an attempt to improve the New York City public health system. Thirty years later, on a renewed perception that the public health system was once again lacking, the city administration approved a sublease of Coney Island Hospital from HHC to PHS New York, Inc. (PHS), a private, for-profit entity.

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ASHA Convention 2013

ASHA Leader ◽

10.1044/leader.an11.18072013.46 ◽

2013 ◽

Vol 18 (7) ◽

pp. 46-48

Keyword(s):

Ice Cream ◽

Annual Convention ◽

The City ◽

Rich History

This year's Annual Convention features some sweet new twists like ice cream and free wi-fi. But it also draws on a rich history as it returns to Chicago, the city where the association's seeds were planted way back in 1930. Read on through our special convention section for a full flavor of can't-miss events, helpful tips, and speakers who remind why you do what you do.

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