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It is a valuable study for Location-based Social Network (LBSN) make a moreaccurate Points-of-Interest (POI) recommendation since that can improve users'experiences. There have been many methods of POIs recommendation that consider context, personal preference pattern, and/or matrix factorization. However, the continuouscontexts have not been thoroughly considered in these methods. This paper first...
While the domain of big data is anticipated to affect many aspects of human endeavour, there are numerous challenges in building big data applications among which is how to address big data characteristics in quality requirements. In this paper, we propose a novel, unified, approach for specifying big data characteristics (e.g., velocity of data arrival) in quality requirements (i.e., those requirements...
Typing is a well known concept to prepare services for data processing for instance by choosing the correct service to a mime type for processing. But a lot more metadata elements, like availability and access conditions, provenance, processing preconditions or integrity parameters, are useful to be known in advance for preprocessing data services. In order to expose such metadata independently from...
Service Composition is playing a pivotal role in diverse industries to approach more cost effective solutions in an efficient manner. Web service selection is playing a key role in the domain of the composition and it considers as the most important last informant of successful Automatic service composition. Since it is growing the web services in tremendous speed due to the innovation of cloud computing...
As the adoption of enterprise Big Data platforms mature, the necessity to maintain systematic catalogue of data being processed and managed by these platforms becomes imperative. Enterprise data catalogues serve as centralized repositories of storing such metadata about data being handled by such platforms, enabling better data governance, security and control. Standardized approaches, methodologies...
The concept of O2O caught great interests from operators and researchers. Although O2O brings great opportunity to the market, the chaos and lack of credit make big problems to the thrive of O2O. The context and preference clustering model is proposed in this paper to study the affection of both customer context and service preference. The proposed model aims to realize a clustering method for both...
Emoticons (e.g., :) and :( ) have been widely used in sentiment analysis and other NLP tasks as features to machine learning algorithms or as entries of sentiment lexicons. In this paper, we argue that while emoticons are strong and common signals of sentiment expression on social media the relationship between emoticons and sentiment polarity are not always clear. Thus, any algorithm that deals with...
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