نتایج جستجو برای: e collaborative discussion
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B2B Engagement, IBM Software Group, Somers, NY. Abstract The B2B e-Commerce area is poised for tremendous growth. While this is a great opportunity for the system designers, the challenges are abundant as well. In this paper, we list the requirements on an application platform for B2B e-Commerce. We describe a framework-based approach to designing such a platform. We use design patterns to desc...
The introduction of recommender systems to existing online services is now practically inevitable, with the increasing number of items and users on online services. Popular recommender systems have successfully implemented satisfactory systems, which are usually based on collaborative filtering. However, collaborative filtering-based recommenders suffer from well-known problems, such as popular...
E-commerce develops rapidly. Learning and taking good advantage of the myriad reviews from online customers has become crucial to the success in this game, which calls for increasingly more accuracy in sentiment classification of these reviews. Therefore the finer-grained review rating prediction is preferred over the rough binary sentiment classification. There are mainly two types of method i...
Collaborative filtering is an important personalized method in recommender systems in E-commerce. It is infeasible that traditional collaborative filtering is based on absolute rating for items since users are difficult to accurately make an absolute rating for items, and also different users give different rating distribution. In this paper, an improved collaborative filtering algorithm based ...
Collaborative Filtering has been widely used in Recommender Systems helping customers of e-shops to find out items matching their requirements in huge or complex search spaces. There exist many commercial applications that show the utility of these systems, especially in e-commerce whose features and good performance obtained has driven us to consider their application in a specific domain as A...
Recommendation and collaborative filtering systems are important in modern information and e-commerce applications. As these systems are becoming increasingly popular in the industry, their outputs could affect business decision making, introducing incentives for an adversarial party to compromise the availability or integrity of such systems. We introduce a data poisoning attack on collaborati...
Communicative workflow modelling is key to describing, analyzing, and designing business processes in virtual collaborative networks, such as present in e-commerce. To make workflow models meaningful and acceptable to all partners, their legitimacy needs to be checked. To this purpose, the underlying norms must be made explicit. A key class of communicative workflow models is captured by our ex...
Public e-procurement is the use of electronic means for publishing, processing, exchanging and storing all the information related to institutional purchases and provisioning in public organizations. It requires complex technological tools which must comply with legal and organizational constraints. In this paper, we analyse cooperative aspects in public purchase processes through the detailed ...
【Keywords】Micro Credit (MC), social ties, information asymmetry, creditworthiness, Guatemala, 【JEL code】C25, D14, Q14 【Abstract】Who borrows Micro Credit (MC) is the information needed to improve not only MC programs but also policies of poverty alleviation. This paper analyzes the MC use determinants taking social ties into account using data in Guatemalan Living Standard Measurement Study. It ...
JOSEPH D. TOUCH is with the ATOMIC-2 and Cities-OnLine projects at USClInfonnarion Sciences Institute. his is a summary of the second Gigabit Networking Workshop (GBN '95) sponsored by the IEEE Communications Society Technical Committee on Gigabit Networking (TCGN) association with INFOCOM in Ami1 1995. (Two earlier events were affiliated with ICC and LEOS Summer Topical Meetings, respectively....
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