Information seeking-Reference-Cited by-同舟云学术

Information seeking

Published:2011-11 Issue:11 Volume:54 Page:121-130
ISSN:0001-0782
Container-title:Communications of the ACM
language:en
Short-container-title:Commun. ACM

Author:

Garcia-Molina Hector¹,Koutrika Georgia²,Parameswaran Aditya¹

Affiliation:

1. Stanford University, Stanford, CA

2. Stanford University's Infolab

Abstract

How to address user information needs amidst a preponderance of data.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Link

https://dl.acm.org/doi/pdf/10.1145/2018396.2018423

Reference33 articles.

1. Amazon (2009); http://amazon.com/. Amazon (2009); http://amazon.com/.

2. Search advertising metrics; http://en.wikipedia.org/wiki/search_advertising. Search advertising metrics; http://en.wikipedia.org/wiki/search_advertising.

3. Incorporating contextual information in recommender systems using a multidimensional approach

4. Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions

Cited by 40 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. It Took Longer than I was Expecting: Why is Dataset Search Still so Hard?;Proceedings of the 2024 Workshop on Human-In-the-Loop Data Analytics;2024-06-14

2. KuaiSAR: A Unified Search And Recommendation Dataset;Proceedings of the 32nd ACM International Conference on Information and Knowledge Management;2023-10-21

3. Algorithms for Group Recommendation;Signals and Communication Technology;2023-09-23

4. Decision Tasks and Basic Algorithms;Signals and Communication Technology;2023-09-23

5. Enhancing Recommendation with Search Data in a Causal Learning Manner;ACM Transactions on Information Systems;2023-04-08