activity
20092022
most citedAggregate effects of advertising decisions: a complex systems look at search engine advertising via an experimental study

19 citations · 26 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2022★ 19 cited

Aggregate effects of advertising decisions: a complex systems look at search engine advertising via an experimental study

Yanwu Yang, Xin Li, Bernard J. Jansen +1

Purpose: We model group advertising decisions, which are the collective decisions of every single advertiser within the set of advertisers who are competing in the same auction or…

cs.IR2022

Keyword Optimization in Sponsored Search Advertising: A Multi-Level Computational Framework

Yanwu Yang, Bernard J. Jansen, Yinghui Yang +2

In sponsored search advertising, keywords serve as an essential bridge linking advertisers, search users and search engines. Advertisers have to deal with a series of keyword decis…

cs.CY2020

How Search Engine Advertising Affects Sales over Time: An Empirical Investigation

Yanwu Yang, Kang Zhao, Daniel Zeng +1

As a mainstream marketing channel on the Internet, Search Engine Advertising (SEA) has a huge business impact and attracts a plethora of attention from both academia and industry.…

cs.HC2018★ 2 cited

Use Cases and Outlooks for Automatic Analytics

Joni Salminen, Bernard J. Jansen

The landscape of analytics is changing rapidly. Much of online user analytics, however, is based on collection of various user analytics numbers. Understanding these numbers, and t…

cs.SI2018★ 3 cited

What We Read, What We Search: Media Attention and Public Attention Among 193 Countries

Haewoon Kwak, Jisun An, Joni Salminen +2

We investigate the alignment of international attention of news media organizations within 193 countries with the expressed international interests of the public within those same…

cs.IR2009★ 2 cited

Learning about Potential Users of Collaborative Information Retrieval Systems

Madhu Reddy, Bernard J. Jansen

One of the key components of designing usable and useful collaborative information retrieval systems is to understand the needs of the users of these systems. Our research team has…