EXPLOITING IMAGE CONTENT IN LOCATION-BASED SHOPPING RECOMMENDER SYSTEMS FOR MOBILE USERS

2010 ◽  
Vol 09 (05) ◽  
pp. 759-778 ◽  
Author(s):  
O. O. OLUGBARA ◽  
S. O. OJO ◽  
M. I. MPHAHLELE
Keyword(s):  
User Satisfaction ◽  
User Study ◽  
Learning To Rank ◽  
User Profile ◽  
Similarity Score ◽  
Mobile Users ◽  
Image Content ◽  
Analytic Hierarchy ◽  
Content Similarity ◽  
Hierarchy Process

This paper demonstrates how image content can be used to realize a location-based shopping recommender system for intuitively supporting mobile users in decision making. Generic Fourier Descriptors (GFD) image content of an item was extracted to exploit knowledge contained in item and user profile databases for learning to rank recommendations. Analytic Hierarchy Process (AHP) was used to automatically select a query item from a user profile. Single Criterion Decision Ranking (SCDR) and Multiple-Criteria Decision-Ranking (MCDR) techniques were compared to study the effect of multidimensional ratings of items on recommendations effectiveness. The SCDR and MCDR techniques are, respectively, based on Image Content Similarity Score (ICSS) and Relative Ratio (RR) aggregating function. Experimental results of a real user study showed that an MCDR system increases user satisfaction and improves recommendations effectiveness better than an SCDR system.

scholarly journals Prioritization of Factors Affecting Sustainability Property Improvement by Using Analytical Hierarchy Process and Important-Satisfaction Model: The Case of TAIPEI 101 Tower

2020 ◽  
Vol 11 (1) ◽  
pp. 257
Author(s):  
Tse-Hsiung Lin ◽  
Shen-Guan Shih
Keyword(s):  
User Satisfaction ◽  
Office Buildings ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Analysis Methodology ◽  
Scientific Analysis ◽  
Taipei 101 ◽  
Key Indicators ◽  
Building Operation ◽  
Hierarchy Process

Almost without exceptions office buildings in the world investigate the approaches of optimizing the building operation and property facilities in order to maintain the best conditions of the building from the first day of opening. For sustainable buildings, how to make continuous profit must rely on the maintenance and improvement of facilities to satisfy users. However, building managers often have trouble prioritizing improvement projects toward their sustainable objectives due to the large number of facilities that have different durability years and the importance and satisfaction of these facilities to users are also different. In the past, financial consideration was usually the only one that matters when improvement of facilities was brought up. Users feedback of satisfaction was not taken into consideration, resulting in huge expenditures did not bring in high user satisfaction. This research, by scientific analysis of the data from user feedback, applies the Analytic Hierarchy Process (AHP) using TAIPEI 101 Tower as a case study to explore the key factors affecting tenants’ willingness to lease office buildings by distributing questionnaires to real estate experts. By filtering out key indicators related to property facilities that users care about, this study used Importance and Satisfaction Analysis (IS Analysis) to identify items that need urgent improvement. This innovative analysis methodology can systematically and logically find out the priority of improvement projects, assisting building managers effectively invest limited resources in projects with substantial benefit, which is helpful for sustainable property management.

scholarly journals User Satisfaction Survey on Public Transport by a New PAHP Based Model

2021 ◽  
Vol 11 (21) ◽  
pp. 10256
Author(s):  
Szabolcs Duleba ◽  
Sarbast Moslem
Keyword(s):  
Analytic Hierarchy Process ◽  
Public Transport ◽  
User Satisfaction ◽  
Pairwise Comparison ◽  
Sample Survey ◽  
Analytic Hierarchy ◽  
Public Transport System ◽  
Time Investment ◽  
Passenger Satisfaction ◽  
Hierarchy Process

There is an obvious trade-off between information obtained from passenger surveys and cost and time investment. This paper offers a new approach for this problem and its detailed step-by-step procedure description. Parsimonious Analytic Hierarchy Process (PAHP) is a recently created methodology that combines the simplicity of direct evaluations with the consistency and reliability of the Analytic Hierarchy Process (AHP). In the paper, the first large sample survey of passenger satisfaction by a new, PAHP-based model and procedure is presented as a case study. Moreover, a comparison with an AHP survey on the same public transport system and the same pattern are demonstrated. Since the comparative analysis produced a strong correlation between AHP and PAHP outcomes, it can be stated that the new procedure is less time consuming and costly than the AHP, while possessing the same benefits, and thus, it is more trustworthy than satisfaction measured by direct evaluations. Consequently, our proposed model can be applied both in theoretical and practical cases. Theoretically, it solves the problem of avoiding the use of large pairwise comparison matrices, and practically, it is a useful support to public satisfaction surveys, especially in the transportation sector.

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