Integration of news content into web results

By Fernando Diaz. 2009

148 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Lihong Li
2. Yi Chang
3. Ankur Gupta
4. Shunbao Chen
5. Jim Kleban
6. Ping Li
7. Zhaohui Zheng
8. Wei Chu

In Information Systems

1. Lihong Li
2. Jaime Teevan
3. Emre Kıcıman
4. Eric Horvitz
5. Yi Chang
6. Zhaohui Zheng
7. Susan T. Dumais
8. Arnd Christian König

Citations in the corpus

• Counterfactual Estimation and Optimization of Click Metrics for Search Engines (2014, background): “As an example, consider federated search where a search engine needs to decide, given a query, whether (and where) to include vertical search results like news and images on the final SERP ( e.g. , [10]).”
• Counterfactual Estimation and Optimization of Click Metrics in Search Engines: A Case Study (2015, background): “As an example, consider federated search where a search engine needs to decide, given a query, whether (and where) to include vertical search results like news and images on the final SERP ( e.g. , [9]).”
• Worst Practices for Designing Production Information Access Systems (2016, background): “Facebook’s Real Name policy is intended to remove fake accounts, usually by flagging names as potentially fictitious and then conducting manual review [15].”
• Online and Social Media Data As an Imperfect Continuous Panel Survey (2016, background): “Shifting and non-stationary intents have been explored [55], but only in the context of optimizing search engines.”
• Exploring or Exploiting? Social and Ethical Implications of Autonomous Experimentation in AI (2016, unknown): “Search engines were early prototypes for these kinds of systems [19, 9], but increasingly they are found even in critical infrastructure, such as transportation [13] and healthcare [11].”
• b-Bit Minwise Hashing for Estimating Three-Way Similarities (2010, background): “, [29, 15]) use the number of documents the words in a search query occur in for different text corpora representing various verticals as features.”
• Towards recency ranking in web search (2010, methodology): “The works that are most related to our approach include [8] and [22], which also directly improve ranking recency in web search.”
• Modeling and predicting behavioral dynamics on the web (2012, background): “Diaz [7] and Dong et al. [1] developed algorithms for identifying queries that are related to breaking news and for blending relevant news results into core search results.”
• Refining Recency Search Results with User Click Feedback (2011, background): “Another related work [7] considered an online algorithm of slotting news direct display modules for recency queries in the search results page but did not consider re-rankings of documents.”