Titlebook: E-Commerce and Web Technologies; 17th International C Derek Bridge,Heiner Stuckenschmidt Conference proceedings 2017 Springer International

LATHE

y predict the relevance of each item for the individual user based on their past preferences and their observed behavior. If the system’s assumption about the users’ preferences are however incorrect or outdated, mechanisms should be provided that put the user into control of the recommendations, e.

整洁漂亮

However, they have mainly focused on a particular recommendation scenario, ., when a new movie is added to the catalogue and no information is available for that movie (. scenario). However, the stylistic visual features can be also used when other sources of information is available (. scenario)..I

行为

address this is to initially inquire the users’ momentary preferences, but the users’ inability to accurately state them upfront may lead to the loss of several good alternatives. Hence, this paper suggests to generate the recommendations without such additional input data from the users and let th

不能和解

ppers to find the lowest price online. Therefore, e-shop owners need to know the prices of their competitors and must be able to adjust their own prices in order to remain competitive. The manual monitoring of all prices of all products and competitors is too time-consuming; hence, the e-shop owners

notion

飞镖

Shifting in the Land Reform Campaignral practical applications, such as user behavior analysis, software testing and market research. However, the large amount of data generated may offer challenges to process and analyze data at nearly real time. In this paper, we first present the MFI-TransSW+ algorithm, an optimized version of MFI-

BILK

commonly resort to reranking techniques in order to improve the products’ relevance given a user query. For that matter, one may take advantage of fine-grained past user events it is now feasible to collect and process, such as the clicks, add-to-basket or purchases. We use a real-world data set of

Transfusion

Accrue

公式

operate with an ecosystem of cloud services. In this position paper, we address the problem by devising metrics to measure the impact of interoperability among the cloud services to guide the cloud service selection process. We introduce concrete definitions and metrics to contribute to measuring th