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20162026
most citedGeneralized Group Profiling for Content Customization

10 citations · 29 across the 9 of their papers we have counts for

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Showing cs.IRShow all

5 papers · 1 filter

cs.IR2017★ 1 cited

On Search Powered Navigation

Mostafa Dehghani, Glorianna Jagfeld, Hosein Azarbonyad +3

Query-based searching and browsing-based navigation are the two main components of exploratory search. Search lets users dig in deep by controlling their actions to focus on and fi…

cs.IR2017★ 9 cited

Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking

Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps +1

Deep neural networks have become a primary tool for solving problems in many fields. They are also used for addressing information retrieval problems and show strong performance in…

cs.IR2017

Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity

Hosein Azarbonyad, Mostafa Dehghani, Tom Kenter +3

A high degree of topical diversity is often considered to be an important characteristic of interesting text documents. A recent proposal for measuring topical diversity identifies…

cs.IR2016★ 9 cited

On Horizontal and Vertical Separation in Hierarchical Text Classification

Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps +1

Hierarchy is a common and effective way of organizing data and representing their relationships at different levels of abstraction. However, hierarchical data dependencies cause di…

cs.IR2016★ 10 cited

Generalized Group Profiling for Content Customization

Mostafa Dehghani, Hosein Azarbonyad, Jaap Kamps +1

There is an ongoing debate on personalization, adapting results to the unique user exploiting a user's personal history, versus customization, adapting results to a group profile s…