• Stars
    star
    5
  • Rank 2,861,937 (Top 57 %)
  • Language
  • Created over 4 years ago
  • Updated about 4 years ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Evaluating Conversational Recommender Systems via User Simulation

More Repositories

1

DBpedia-Entity

DBpedia-Entity v2: A Test Collection for Entity Search
60
star
2

nordlys

Nordlys: Toolkit for entity-oriented and semantic search
Python
32
star
3

www2018-table

23
star
4

DynamicEntitySummarization-DynES

Dynamic Entity Summarization (DynES)
21
star
5

arXivDigest

Python
21
star
6

UserSimConvRec

User Simulation for Conversational Recommendation
Python
20
star
7

sigir2019-table2vec

17
star
8

UserSimCRS

Conversational Recommender System Evaluation via Simulation
Python
12
star
9

table-retrieval

11
star
10

cikm2018-intentsKB

IntentsKB: A Knowledge Base of Entity-Oriented Search Intents - CIKM'18
10
star
11

sigir2017-table

EntiTables: Smart Assistance for Entity-Focused Tables - SIGIR'17
Python
10
star
12

sigir2018-table

On-the-fly Table Generation - SIGIR'18
10
star
13

webtables-tutorial

Tutorial on Web Table Extraction, Retrieval and Augmentation
TeX
10
star
14

ecir2018-intents

Towards an Understanding of Entity-Oriented Search Intents - ECIR'18
9
star
15

sigir2020-tablesum

Summarizing and Exploring Tabular Data in Conversational Search (SIGIR '20)
9
star
16

DialogueKit

DialogueKit
Python
9
star
17

MovieBot

IAI MovieBot
Python
8
star
18

sigir2021-pointrec

POINTREC: A Test Collection for Narrative-driven Point of Interest Recommendation
Python
7
star
19

guidelines

IAI Style Guide
Mustache
7
star
20

MG-ShopDial

Resources related to MG-ShopDial dataset.
Python
7
star
21

sigir2017-query_types

Target Type Identification for Entity-Bearing Queries - SIGIR'17
6
star
22

cikm2019-table

4
star
23

IQN-KGQA

IQN-KGQA Collection
4
star
24

irj-types

Identifying and Exploiting Target Entity Type Information for Ad Hoc Entity Retrieval
Python
4
star
25

ecir2023-reproducibility

Reproducibility of the state of the art system from TREC CAsT'21.
Python
4
star
26

answerability-prediction

Python
4
star
27

ir-course-2022

About DAT640-2022: Information Retrieval and Text Mining course at UiS
Jupyter Notebook
3
star
28

ecir2018-neuqs

Generating High-Quality Query Suggestion Candidates for Task-Based Search - ECIR'18
Python
3
star
29

pkg-api

PKG API
Python
3
star
30

bsc2021-arxivtables

Table Extraction from Scientific Publications on arXiv
TeX
2
star
31

cikm2020-category

2
star
32

ecir2017-fusion

Design Patterns for Fusion-Based Object Retrieval
Python
2
star
33

sigir2024-transparentCIS

Python
2
star
34

DLReadingGroup

UiS Deep Learning Reading Group
Jupyter Notebook
1
star
35

CAsT-snippets

CAsT-snippets dataset that enriches the TREC CAsT 2020 and 2022 datasets with snippet-level answer annotations.
Python
1
star
36

ir-course-2021

DAT640-2021: Information Retrieval and Text Mining course at UiS
Jupyter Notebook
1
star
37

arxivdigest-recommenders

Recommender systems for arXivDigest.
Python
1
star
38

recsys2021-crs-questions

Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions
Python
1
star
39

tors2023-crs-questions

Python
1
star
40

sigir2022-usersim

Analyzing and Simulating User Utterance Reformulation in Conversational Recommender Systems (SIGIR '22)
1
star