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Question recommendation for collaborative question answering systems with RankSLDA

Published: 06 October 2014 Publication History

Abstract

Collaborative question answering (CQA) communities rely on user participation for their success. This paper presents a supervised Bayesian approach to model expertise in on-line CQA communities with application to question recommendation, aimed at reducing waiting times for responses and avoiding question starvation. We propose a novel algorithm called RankSLDA which extends the supervised Latent Dirichlet Allocation model by considering a learning-to-rank paradigm. This allows us to exploit the inherent collaborative effects that are present in CQA communities where users tend to answer questions in their topics of expertise. Users can thus be modeled on the basis of the topics in which they demonstrate expertise. In the supervised stage of the method we model the pairwise order of expertise of users on a given question. We compare RankSLDA against several alternative methods on data from the Cross Validate community, part of the Stack Exchange network. RankSLDA outperforms all alternative methods by a significant margin.

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    cover image ACM Conferences
    RecSys '14: Proceedings of the 8th ACM Conference on Recommender systems
    October 2014
    458 pages
    ISBN:9781450326681
    DOI:10.1145/2645710
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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    Publication History

    Published: 06 October 2014

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    Author Tags

    1. community question answering
    2. expert modeling
    3. latent topics model
    4. learning to rank
    5. question recommendation
    6. supervised latent dirichlet allocation

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    RecSys'14
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    RecSys'14: Eighth ACM Conference on Recommender Systems
    October 6 - 10, 2014
    California, Foster City, Silicon Valley, USA

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    RecSys '14 Paper Acceptance Rate 35 of 234 submissions, 15%;
    Overall Acceptance Rate 254 of 1,295 submissions, 20%

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    Cited By

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    • (2024)Semantic Web Approaches in Stack OverflowInternational Journal on Semantic Web & Information Systems10.4018/IJSWIS.35861720:1(1-61)Online publication date: 9-Nov-2024
    • (2024)Deciphering digital popularity from question quality: the preeminence of social attributes over textual dimensions in driving CQA platform trafficJournal of Information and Telecommunication10.1080/24751839.2024.2400439(1-24)Online publication date: 11-Sep-2024
    • (2022)A Dual-Attention Heterogeneous Graph Neural Network for Expert Recommendation in Online Agricultural Question and Answering Communities2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD54268.2022.9776176(926-931)Online publication date: 4-May-2022
    • (2021)Leveraging Official Content and Social Context to Recommend Software DocumentationIEEE Transactions on Services Computing10.1109/TSC.2018.281272914:2(472-486)Online publication date: 1-Mar-2021
    • (2021)LDA-based term profiles for expert finding in a political settingJournal of Intelligent Information Systems10.1007/s10844-021-00636-xOnline publication date: 23-Mar-2021
    • (2020)Understanding stack overflow code quality: A recommendation of cautionScience of Computer Programming10.1016/j.scico.2020.102516(102516)Online publication date: Jul-2020
    • (2019)DiffQueACM Transactions on Intelligent Systems and Technology10.1145/333779910:4(1-27)Online publication date: 24-Jul-2019
    • (2019)User intimacy model for question recommendation in community question answeringKnowledge-Based Systems10.1016/j.knosys.2019.07.015Online publication date: Jul-2019
    • (2019)Tracking user-role evolution via topic modeling in community question answeringInformation Processing and Management: an International Journal10.1016/j.ipm.2019.10207556:6Online publication date: 1-Nov-2019
    • (2019)LinkLiveWorld Wide Web10.1007/s11280-018-0621-y22:4(1699-1725)Online publication date: 1-Jul-2019
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