Designing Jakarta Halal Tourism Application with Collaborative and Location-Based Filtering Method as Jakarta Smart City Optimization

Jakarta is one of the Muslim-friendly tourist destinations in Indonesia. The DKI Jakarta government has various limitations in managing existing facilities, so community participation is needed. It encourages people to utilize application-based new media to answer the challenges and problems faced by Jakarta. A platform is required in the form of a digital application that can load destinations ranging from places, lodging, food, and facilities owned by tourist attractions labeled halal tourism to make it easier to find halal tourist destinations in Jakarta as an optimization of intelligent cities and contribute to SDGs. Halal tourism applications make it easier for people to get information related to Halal Tourism in Jakarta with the most popular development methods, namely collaborative filtering and location-based filtering methods. This method uses knowledge gathered from monitoring the behavior and personal choices of system users, who are generally known as personal profile users. The research method used is Research and Development (R&D) by designing an Android-based system. Data collection is an interview with sources with the DKI Jakarta Tourism and Creative Economy Office accompanied by expert information. The result of this research is the design of the Jakarta City Halal Tourism Application (SI PAHAJI) aimed at local and foreign tourists. The application contains information about tourist attractions, accommodations, and other facilities that are friendly to halal visitors in DKI Jakarta to help recommend tourist destinations in DKI Jakarta that follow user preferences and locations

Enhancing Restaurant Dining Experience: Design and Evaluation of a Mobile App for Personalized Menu Item Selection in Restaurants

Picking the right food item from a restaurant menu can be challenging for people, specially for those who are unfamiliar with local cuisine and those with specific dietary requirements. Existing menus often lack essential information, making it difficult for diners to make quick and confident decisions. In this paper, we propose a mobile app that offers a user-friendly interface to allows users rank menu items based on their preferences and concerns. Using personalized ranking algorithms, the app analyzes the ingredients and nutritional content of menu items, providing users with valuable information to make informed choices. Preliminary tests suggest that the app is easy to use and effective in providing relevant information to users. Overall, the proposed system has the potential to improve the dining experience of individuals with various dietary needs and preferences

Recommendation & mobile systems - a state of the art for tourism

Recommendation systems have been growing in number over the last fifteen years. To evolve and adapt to the demands of the actual society, many paradigms emerged giving birth to even more paradigms and hybrid approaches. These approaches contain strengths and weaknesses that need to be evaluated according to the knowledge area in which the system is going to be implemented. Mobile devices have also been under an incredible growth rate in every business area, and there are already lots of mobile based systems to assist tourists. This explosive growth gave birth to different mobile applications, each having their own advantages and disadvantages. Since recommendation and mobile systems might as well be integrated, this work intends to present the current state of the art in tourism mobile and recommendation systems, as well as to state their advantages and disadvantages

Toward personalised and dynamic cultural routing: a three-level approach

This paper introduces the concept of “smart routing” as a recommender system for tourists that takes into account the dynamics of their personal user profiles. The concept relies on three levels of support: 1) programming the tour, i.e. selecting a set of relevant points of interests (POIs) to be included into the tour, 2) scheduling the tour, i.e. arranging the selected POIs into a sequence based on the cultural, recreational and situational value of each, and 3) determining the tour’s travel route, i.e. generating a set of trips between the POIs that the tourist needs to perform in order to complete the tour. The “smart routing” approach intends to enhance the experience of tourists in a number of ways. The first advantage is the system’s ability to reflect on the tourists’ dynamic preferences, for which an understanding of the influence of a tourist’s affective state and dynamic needs on the preferred activities is required. Next, it arranges the POIs together in a way that creates a storyline that the tourist will be interested to follow, which adds to the tour’s cultural value. Finally, the POIs are connected by a chain of multimodal trips that the tourist will have to make, also in accordance with the tourist’s preferences and dynamic needs. As a result, each tour can be personalised in a “smart” way, from the perspective of both the cultural and the overall experience of taking it. We present the building blocks of the “smart routing” concept in detail and describe the data categories involved. We also report on the current status of our activities with respect to the inclusion of a tourist’s affective state and dynamic needs into the preference measurement phase, as well as discuss relevant practical concerns in this regard

Traveltant: Social Interaction Based Personalized Recommendation System

Trip planning is a time consuming task that most people do before going to any destination. Traveltant is an intelligent system that analyzes a user\u27s Social network and suggests a complete trip plan detailed for every single day based on the user\u27s interests extracted from the Social network. Traveltant also considers the interests of friends the user interacts with most by building a ranked friends list of interactivity, and then uses the interests of those people in this list to enrich the recommendation results. Traveltant provides a smooth user interface through a Windows Phone 7 application while doing most of the work in a backend cloud service. To evaluate the results of the system, volunteers have rated the personalized results better than those results from only common factors such popularity and rating

Accessible POI Recommendation Using Adaptive Aggregation of Binary Ratings

Everyone needs one or more forms of accessibility at some point in life due to age, medical conditions, accidents, etc. People with accessibility needs have the right to accessible services, as well as the right to information about accessibility at various places or Points of Interest (POI). While most popular POI recommendation services do not take accessibility into account, some of them only consider a few specific needs, such as ramp for wheelchair users. However, different users have different accessibility needs regarding the structure of the building, special aid devices, and facilities to be able to independently visit a place. The proposed system focuses on finding the personalized accessibility score for a (user, POI) pair. It can be used with other factors such as historical behavior, social influence, geographical conditions, etc. to recommend accessible places. It uses time decaying aggregate on the crowd-sourced binary rating data to find accurate approximation of current accessibility status for each accessibility criteria. Also, we propose a tunnel-based algorithm to detect the trend of binary stream data to update the rate of decay. This ensures that the calculated aggregate adapts to change in the accessibility status of the place

CHORUS Deliverable 2.1: State of the Art on Multimedia Search Engines

Based on the information provided by European projects and national initiatives related to multimedia search as well as domains experts that participated in the CHORUS Think-thanks and workshops, this document reports on the state of the art related to multimedia content search from, a technical, and socio-economic perspective. The technical perspective includes an up to date view on content based indexing and retrieval technologies, multimedia search in the context of mobile devices and peer-to-peer networks, and an overview of current evaluation and benchmark inititiatives to measure the performance of multimedia search engines. From a socio-economic perspective we inventorize the impact and legal consequences of these technical advances and point out future directions of research

A model for a socially-aware mobile tourist recommendation system

People, whether for business or pleasure, often travel or visit locations they are unfamiliar with. To overcome this, a mobile tourist recommendation system can be used. This system is able to generate tourist attraction recommendations for a person, based on a number of criteria such as time and location. One criterion often overlooked though, is a person's social environment. This is an important consideration as touring is often done with more than one person. By not considering the other people within a person's social environment, recommendations will only be limited to the preferences of a single person. The purpose of this paper is to propose a model for a mobile tourist guide recommendation system that considers a persons social environment when generating tourist attraction recommendations. This is done by studying other tourist recommendation systems, eliciting key requirements for a socially aware tourist guide system from them, and using these requirements as input for a mobile tourist recommendation system model that can harness a person's social environment when recommending tourist attractions

Adaptive hypertext and hypermedia : workshop : proceedings, 3rd, Sonthofen, Germany, July 14, 2001 and Aarhus, Denmark, August 15, 2001

This paper presents two empirical usability studies based on techniques from Human-Computer Interaction (HeI) and software engineering, which were used to elicit requirements for the design of a hypertext generation system. Here we will discuss the findings of these studies, which were used to motivate the choice of adaptivity techniques. The results showed dependencies between different ways to adapt the explanation content and the document length and formatting. Therefore, the system's architecture had to be modified to cope with this requirement. In addition, the system had to be made adaptable, in addition to being adaptive, in order to satisfy the elicited users' preferences

Adaptive hypertext and hypermedia : workshop : proceedings, 3rd, Sonthofen, Germany, July 14, 2001 and Aarhus, Denmark, August 15, 2001

This paper presents two empirical usability studies based on techniques from Human-Computer Interaction (HeI) and software engineering, which were used to elicit requirements for the design of a hypertext generation system. Here we will discuss the findings of these studies, which were used to motivate the choice of adaptivity techniques. The results showed dependencies between different ways to adapt the explanation content and the document length and formatting. Therefore, the system's architecture had to be modified to cope with this requirement. In addition, the system had to be made adaptable, in addition to being adaptive, in order to satisfy the elicited users' preferences