Search Results for author:
Found 14 papers, 2 papers with code
A survey on the impact of AI-based recommenders on human behaviours: methodologies, outcomes and future directions
Recommendation systems and assistants (in short, recommenders) are ubiquitous in online platforms and influence most actions of our day-to-day lives, suggesting items or providing solutions based on users' preferences or requests.
Evaluation Metrics for Measuring Bias in Search Engine Results
However, search engine results do not necessarily cover all the viewpoints of a search query topic, and they can be biased towards a specific view since search engine results are returned based on relevance, which is calculated using many features and sophisticated algorithms where search neutrality is not necessarily the focal point.
Experimenting with Selected Automated Approaches for Bias Analysis
This work first presents our attempts to establish an automated model using state-of-the-art approaches for analysing bias in search results of Bing and Google.
Quantifying Political Bias in News Articles
Search bias analysis is getting more attention in recent years since search results could affect In this work, we aim to establish an automated model for evaluating ideological bias in online news articles.
Case Study: The Impact of Location on Bias in Search Results
Yet, in the scope of this work, by using the query subset of controversial queries we examine the effect of location on the existence of bias as well as the magnitude of bias difference between Bing and Google.
Measuring Gender Bias in Educational Videos: A Case Study on YouTube
Then, for analysing perceived gender bias we utilised bias measures that have been inspired by search platforms and further incorporated rank information into our analysis.
Literature Review of the Pioneering Approaches in Cloud-based Search Engines Powered by LETOR Techniques
Since traditional search systems index the documents mainly by looking at the frequency of the occurring words in these documents, they are barely able to support natural language search, but rather keyword search.
Query Suggestion for Click-Absent Queries in Enterprise Search
Creating alternative queries, also known as query suggestion, has been proved to be helpful on improving users' search experience.
Biased or Not?: The Story of Two Search Engines
Extensive experiments performed on controversial topics show that both search engines are biased, moreover they have the same kind of bias towards a given controversial topic.
Customising Ranking Models for Enterprise Search on Bilingual Click-Through Dataset
Then, in the second part we will elaborately mention about the ranking models to improve the search results in the vertical search of the technical documents in enterprise domain.
\#Turki\$hTweets: A Benchmark Dataset for Turkish Text Correction
{\#}Turki{\$}hTweets is a benchmark dataset for the task of correcting the user misspellings, with the purpose of introducing the first public Turkish dataset in this area.
