output
20072026
most citedInformation Centric Networking in the IoT: Experiments with NDN in the Wild

234 citations

Showing 2015 · cs.IRShow all

7 papers · 2 filters

cs.IR2015★ 11 cited

The relationship between internet user type and user performance when carrying out simple vs. complex search tasks

Georg Singer, Pille Pruulmann-Vengerfeldt, Ulrich Norbisrath +1

It is widely known that people become better at an activity if they perform this activity long and often. Yet, the question is whether being active in related areas like communicat…

cs.IR2015★ 2 cited

A Framework for Evaluating the Retrieval Effectiveness of Search Engines

Dirk Lewandowski

This chapter presents a theoretical framework for evaluating next generation search engines. We focus on search engines whose results presentation is enriched with additional infor…

cs.IR2015

The retrieval effectiveness of search engines on navigational queries

Dirk Lewandowski

Purpose - To test major Web search engines on their performance on navigational queries, i.e. searches for homepages. Design/methodology/approach - 100 real user queries are posed…

cs.IR2015

The Influence of Commercial Intent of Search Results on Their Perceived Relevance

Dirk Lewandowski

We carried out a retrieval effectiveness test on the three major web search engines (i.e., Google, Microsoft and Yahoo). In addition to relevance judgments, we classified the resul…

cs.IR2015★ 3 cited

What Users See - Structures in Search Engine Results Pages

Nadine Hoechstoetter, Dirk Lewandowski

This paper investigates the composition of search engine results pages. We define what elements the most popular web search engines use on their results pages (e.g., organic result…

cs.IR2015

The Retrieval Effectiveness of Web Search Engines: Considering Results Descriptions

Dirk Lewandowski

Purpose: To compare five major Web search engines (Google, Yahoo, MSN, Ask.com, and Seekport) for their retrieval effectiveness, taking into account not only the results but also t…