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57
Simulation Framework for Travel Trajectory Generation and Mobile Transaction Modeling
"... Abstract—In recent years, Location-Based Services (LBSs) have received a lot of attentions due to a wide range of potential applications. In such mobile applications and services, the travel recommendation system is one of popular LBSs for mobile users. More and more research studies focus on discov ..."
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recommendation system. However, it is not easy to obtain the real travel trajectory data for mobile users since the problem of personal privacy. To develop a travel trajectory data generator is very useful for the research communities on mobile travel behavior mining. In this paper, we present a simulation
Mining Individual Behavior Pattern Based on Semantic Knowledge Discovery of Trajectory
"... This paper attempts to mine the hidden individual behav-ior pattern from the raw users ’ trajectory data. Based on DBSCAN, a novel spatio-temporal data clustering algo-rithm named Speed-based Clustering Algorithm was put forward to find slow-speed subtrajectories (i.e., stops) of the single trajecto ..."
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regular behavior pattern can be mined from the history trajectories. In the end, LBS operators are able to provide intelligent and personalized services so as to achieve precise marketing in terms of the characteristics of the individual behavior.
Learning Location Correlation from GPS Trajectories
"... Abstract — People’s location histories imply the location correlation that states the relations between geographical locations in the space of human behavior. With the correlation, we can enable many valuable services, such as location recommendation and sales promotion. In this paper, by taking int ..."
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Cited by 14 (8 self)
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into account a user’s travel experience (knowledge) and the sequentiality that locations have been visited, we learn the location correlation from a large number of user-generated GPS trajectories. Using the location correlation, we conduct a personalized location recommendation system, which is evaluated
INTELLIGENT ONE-STOP-SHOP TRAVEL RECOMMENDATIONS USING AN ADAPTIVE NEURAL NETWORK AND CLUSTERING OF HISTORY
"... The rapid growth of e-commerce during the last years has obliged a significant number of companies and professionals from diverse fields to turn to the Internet as a medium through which they aim to promote their products and services. A main issue for product and service providers is that, as this ..."
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Cited by 3 (0 self)
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on the analysis of past user actions to estimate the optimal way with which to interact with each user. In this article we explain why existing recommender systems are not adequate to provide for efficient personalization of interaction in the area of travel services, as they cannot support the user in all
Recommendation of Web Pages for Online users using Web Log Data
"... Abstract: World Wide Web is a huge repository of web pages and links. It provides abundance of information for the Internet users. To reduce users browsing time lot of research is taken place. Web Usage Mining is a type of web mining which applies mining techniques in log data to extract the behavio ..."
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the behaviour of users which is used in various applications like personalized services, adaptive web sites, customer profiling, prefetching and creating attractive web sites. Users ’ accesses are recorded in web logs. Because of the tremendous usage of web, the web log files are growing at a faster rate
Clr: a collaborative location recommendation framework based on co-clustering
- In Proceedings of the 34th International ACM Conference on Research and Development in Information Retrieval (SIGIR
, 2011
"... GPS data tracked on mobile devices contains rich information about human activities and preferences. In this paper, GPS data is used in location-based services (LBSs) to provide collaborative location recommendations. We observe that most existing LBSs provide location recommendations by clustering ..."
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Cited by 16 (0 self)
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GPS data tracked on mobile devices contains rich information about human activities and preferences. In this paper, GPS data is used in location-based services (LBSs) to provide collaborative location recommendations. We observe that most existing LBSs provide location recommendations by clustering
A Neoteric Web Recommender System based on Approach of Mining Frequent Sequential Pattern from Customized Web Log Preprocessing
"... A real world challenging task of the web master of an organization is to match the needs of user and keep their attention in their web site. So, only option is to capture the intuition of the user and provide them with the recommendation list. Web usage mining is a kind of data mining method that pr ..."
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Cited by 1 (0 self)
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that provide intelligent personalized online services such as web recommendations, it is usually necessary to model users ‟ web access behavior. Web usage mining includes three process, namely, preprocessing, pattern discovery and pattern analysis. After the completion of these three phases the user can find
In search of lost leisure: the impact of caregiving on leisure travel
- Ioannis Kostakis et al. Submitted on March 19, 2014 ~ 20
, 2004
"... Abstract: One of the fastest growing market segments of the tourism industry over the last two decades is made up of consumers 55 years of age and older. As we enter the new millennium, over 50 million of these -mature adults‖ will find themselves on the edge of retirement, equipped with the freedo ..."
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Cited by 3 (0 self)
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employed. In addition to identifying impediments (physical, social, emotional) to pursuing or maintaining leisure travel for caregivers of older adults, the qualitative analysis yielded other emergent themes such as changes in patterns and types of leisure travel, entitlement, resentment, and anger
Recommendation Rules -a Data Mining Tool to Enhance Business-to-Customer Communication in Web Applications
"... Abstract. Contemporary information systems are facing challenging tasks involving advanced data analysis, pattern discovery, and knowledge utilization. Data mining can be successfully employed to sieve through huge amounts of raw data in search for interesting patterns. Knowledge discovered during ..."
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data mining activity can be used to provide valueadded services and benefits to users, customers, and organizations. The adoption of the Web as one of the main media for business-tocustomer (B2C) communication provides novel opportunities for using data mining to personalize and enhance customer
New Approaches to Web Personalization Using Web Mining Techniques.
"... Abstract--With millions of pages available on web, it has become difficult to access relevant information. One possible approach to solve this problem is web personalization. Web personalization is defined as any action that customizes the information or services provided by a web site to an individ ..."
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been a form of ‘data-centric ’ view. In this paper, the significance of the evolving nature of the Web personalization have described. Web usage mining is used to discover interesting user navigation patterns and can be applied to many real-world problems, such as improving Web sites/pages, making
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