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A COCKTAIL APPROACH ON PERSONALIZED TRAVEL PACKAGE RECOMMENDATION BASED ON THE TAST MODEL

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In this abstract, we first analyze the characteristics of the existing travel packages and develop a tourist-area-season topic (TAST) model. This TAST model can represent travel packages and tourists by different topic distributions, where the topic extraction is conditioned on both the tourists and the intrinsic features (i.e., locations, travel seasons) of the landscapes. Then, […]

THE PROBLEM OF ASSIGNING CLIENTS TO SERVERS FOR MAXIMIZING THE INTERACTIVITY OF DISTRIBUTED INTERACTIVE APPLICATION

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Distributed interactive applications (DIAs), such as multiplayer online games and distributed interactive simulations, allow participants at different locations to interact with one another through networks. Thus, the interactivity of DIAs is important for participants to have enjoyable interaction experiences. Normally, interactivity is characterized by the duration from the time when a participant issues an operation […]

COCKTAIL RECOMMENDATION APPROACH FOR TRAVEL PACKAGE

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The rapid growth of online travel information imposes an increasing challenge for tourists who have to choose from a large number of available travel packages for satisfying their personalized needs. Moreover, to increase the profit, the travel companies have to understand the preferences from different tourists and serve more attractive packages. Therefore, the demand for […]

CONTINUOUS DISTRIBUTED INTERACTIVE APPLICATIONS WITH CLIENT ASSIGNMENT PROBLEM: ANALYSIS, ALGORITHMS, AND EVALUATION

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Interactivity is characterized by the duration from the time when a participant issues an operation to the time when the effect of the operation is presented to the same participant or other participants. Interactivity is a primary performance measure for distributed interactive applications (DIAs) that enable participants at different locations to interact with each other […]

BESTPEER++: A NOVEL PEER-TO-PEER BASED DATA MANAGEMENT PLATFORM

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The corporate network needs to scale up to sup- port thousands of participants, while the installation of a large-scale centralized data warehouse system entails nontrivial costs including huge hardware/software investments and high maintenance cost. In the real world, most companies are not keen to invest heavily on additional information systems until they can clearly see […]

A NOVEL PEER-TO-PEER BASED LARGE-SCALE DATA PROCESSING PLATFORM

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Companies of the same industry sector are often connected into a corporate network for collaboration purposes. Each company maintains its own site and selectively shares a portion of its business data with the others. The corporate network is often used for sharing information among the participating companies and facilitating collaboration in a certain industry sector […]

DQF-A NOVEL DYNAMIC QUERY FORMS FOR DATABASE QUERIES

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Traditional query forms are designed and predefined by developers or DBA in various information management systems. Traditional predefined query forms are not able to satisfy various ad-hoc queries from users on those databases. This abstract proposes DQF, a novel database query form interface, which is able to dynamically generate query forms. The essence of DQF […]

COMMTRUST-MINING E-COMMERCE FEEDBACK COMMENTS

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Accurate trust evaluation is crucial for the success of e-commerce systems. Reputation reporting systems have been implemented in e-commerce systems such as eBay and Amazon (for third-party sellers), where overall reputation scores for sellers are computed by aggregating feedback ratings. Reputation-based trust models are widely used in e-commerce applications, and feedback ratings are aggregated to […]

DATABASE QUERIES IN DYNAMIC QUERY FORMS

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In this abstract, we propose a Dynamic Query Form system: DQF, a query interface which is capable of dynamically generating query forms for users. Different from traditional document retrieval, users in database retrieval are often willing to perform many rounds of actions (i.e., refining query conditions) before identifying the final candidates. The essence of DQF […]

MINING E-COMMERCE FEEDBACK COMMENTS FOR COMPUTING MULTI-DIMENSIONAL TRUST

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We propose Comment-based Multi-dimensional trust (CommTrust), a fine-grained multi-dimensional trust evaluation model by mining e-commerce feedback comments. With CommTrust, comprehensive trust profiles are computed for sellers, including dimension reputation scores and weights, as well as overall trust scores by aggregating dimension reputation scores. To the best of our knowledge, CommTrust is the first piece of […]