İsmail Sengör Altıngövde

E-mail

asengor@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0002-9764-2071

Scopus Author ID

6507657395

Web of Science Researcher ID

ABA-3971-2020

Diversity-aware strategies for static index pruning Yigit-Sert, Sevgi; Altıngövde, İsmail Sengör; Ulusoy, Özgür (2024-09-01) Static index pruning aims to remove redundant parts of an index to reduce the file size and query processing time. In this paper, we focus on the impact of index pruning on the topical diversity of query results obtained o...
Fusion Enhanced Click-Through-Rate Prediction Bayraktar, Murat; Gökce, Fatma Ceyda; Aksu, Dogukan; Altıngövde, İsmail Sengör; Karagöz, Pınar; Toroslu, İsmail Hakkı (2023-10-24) In this study, the effects of combining multiple models to increase the accuracy of Click-Through Rate (CTR) prediction, which is a critical task in online advertising, product marketing, and recommendation systems, have b...
Summarizing Legal Regulatory Documents using Transformers Klaus, Svea; Van Hecke, Ria; Djafari Naini, Kaweh; Altıngövde, İsmail Sengör; Bernabé-Moreno, Juan; Herrera-Viedma, Enrique (2022-07-06) © 2022 ACM.Companies invest a substantial amount of time and resources in ensuring the compliance to the existing regulations or in the form of fines when compliance cannot be proven in auditing procedures. The topic is no...
Learning to Rank for Educational Search Engines Usta, Arif; Altıngövde, İsmail Sengör; Ozcan, Rifat; Ulusoy, Ozgur (2021-01-01) In this digital age, there is an abundance of online educational materials in public and proprietary platforms. To allow effective retrieval of educational resources, it is a necessity to build keyword-based search engines...
Supervised approaches for explicit search result diversification Yigit-Sert, Sevgi; Altıngövde, İsmail Sengör; Macdonald, Craig; Ounis, Iadh; Ulusoy, Özgür (Elsevier BV, 2020-11-01) Diversification of web search results aims to promote documents with diverse content (i.e., covering different aspects of a query) to the top-ranked positions, to satisfy more users, enhance fairness and reduce bias. In th...
Explicit diversification of search results across multiple dimensions for educational search Yigit-Sert, Sevgi; Altıngövde, İsmail Sengör; Macdonald, Craig; Ounis, Iadh; ULUSOY, ÖZGÜR (Wiley, 2020-09-01) Making use of search systems to foster learning is an emerging research trend known assearch as learning. Earlier works identified result diversification as a useful technique to support learning-oriented search, since div...
Predicting the size of candidate document set for implicit web search result diversification Ulu, Yasar Baris; Altıngövde, İsmail Sengör (2020-01-01) © Springer Nature Switzerland AG 2020.Implicit result diversification methods exploit the content of the documents in the candidate set, i.e., the initial retrieval results of a query, to obtain a relevant and diverse rank...
Supervised learning methods for diversification of image search results Goynuk, Burak; Altıngövde, İsmail Sengör (2020-01-01) © Springer Nature Switzerland AG 2020.We adopt a supervised learning framework, namely R-LTR [17], to diversify image search results, and extend it in various ways. Our experiments show that the adopted and proposed varian...
Those were the days: learning to rank social media posts for reminiscence Naini, Kaweh Djafari; Kawase, Ricardo; Kanhabua, Nattiya; Niederee, Claudia; Altıngövde, İsmail Sengör (2019-04-01) Social media posts are a great source for life summaries aggregating activities, events, interactions and thoughts of the last months or years. They can be used for personal reminiscence as well as for keeping track with d...
On the impact of storing query frequency history for search engine result caching Yafay, Erman; Altıngövde, İsmail Sengör (2019-01-01) © Springer Nature Switzerland AG 2019.We investigate the impact of the size of query frequency history and its compact representation in memory for search result caching.

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