Many firms are striving to improve their environmental positions by presenting their
environmental efforts to the public. To do so, they are applying green marketing strategies to …

Information retrieval is a fundamental component of human information behavior. The ability
to extract useful information from large electronic resources not only is one of the main …

The article presents a multidimensional (MD) approach to recommender systems that can
provide recommendations based on additional contextual information besides the typical …

We show that incorporating user behavior data can significantly improve ordering of top
results in real web search setting. We examine alternatives for incorporating feedback into …

Relevance feedback has a history in information retrieval that dates back well over thirty
years (cf [SL96]). Relevance feedback is typically used for query expansion during short …

This chapter aims to provide an overview of the class of multi-criteria recommender systems.
First, it defines the recommendation problem as a multicriteria decision making (MCDM) …

Of growing interest in the area of improving the search experience is the collection of implicit
user behavior measures (implicit measures) as indications of user interest and user …

In this paper, we define and present a comprehensive classification of user intent for Web
searching. The classification consists of three hierarchical levels of informational …

Evaluating user preferences of web search results is crucial for search engine development,
deployment, and maintenance. We present a real-world study of modeling the behavior of …

The use of data stored in transaction logs of Web search engines, Intranets, and Web sites
can provide valuable insight into understanding the information-searching process of online …