# A Complete Year of User Retrieval Sessions in a Social Sciences Academic Search Engine

## TL;DR

This paper introduces a comprehensive dataset of 484,449 user retrieval sessions from a social sciences academic search engine, enabling various analyses like user behavior, query reformulation, and search pattern recognition.

## Contribution

It provides a large, open dataset of user interactions in an academic search engine, facilitating research in search behavior and system improvements.

## Key findings

- Dataset covers one year of user sessions
- Data can be used for improving result ranking
- Supports analysis of user search behavior

## Abstract

In this paper, we present an open data set extracted from the transaction log of the social sciences academic search engine sowiport. The data set includes a filtered set of 484,449 retrieval sessions which have been carried out by sowiport users in the period from April 2014 to April 2015. We propose a description of interactions performed by the academic search engine users that can be used in different applications such as result ranking improvement, user modeling, query reformulation analysis, search pattern recognition.