[图书][B] Click models for web search

A Chuklin, I Markov, M De Rijke - 2022 - books.google.com
… user click behavior on a web search engine result page. We present simple click models as
well as more complex models … on modern search engine result pages. We discuss how these …

A context-aware click model for web search

J Chen, J Mao, Y Liu, M Zhang, S Ma - … on Web Search and Data Mining, 2020 - dl.acm.org
… simulation may help search engines better ful ll users’ information needs. To this end, …
click models have been proposed for Web search [9]. These click models act as the click

Why don't you click: Neural correlates of non-click behaviors in web search

Z Ye, X Xie, Y Liu, Z Wang, X Li, J Li, X Chen… - arXiv preprint arXiv …, 2021 - arxiv.org
… of click necessity, some researches consider click necessity as a trainable value to construct
click models which achieve better performance, especially in mobile search [24]. However, …

Search-based user interest modeling with lifelong sequential behavior data for click-through rate prediction

Q Pi, G Zhou, Y Zhang, Z Wang, L Ren, Y Fan… - Proceedings of the 29th …, 2020 - dl.acm.org
… Here we introduce two kinds of general search unit: hard-search and soft-search. … of general
search unit, softsearch model and hard-search model. For both soft and hard search model, …

[PDF][PDF] User Modeling with Click Preference and Reading Satisfaction for News Recommendation.

C Wu, F Wu, T Qi, Y Huang - IJCAI, 2020 - ijcai.org
… Learning deep structured semantic models for web search using clickthrough data. In CIKM,
pages 2333–2338, 2013. [Kim et al., 2014] Youngho Kim, Ahmed Hassan, Ryen W White, …

Deep learning for click-through rate estimation

W Zhang, J Qin, W Guo, R Tang, X He - arXiv preprint arXiv:2104.10584, 2021 - arxiv.org
… Later we will introduce the deep user behavior models in Section 4 and the automated
architecture search methods in Section 5. One can see that (i) feature interaction learning mainly …

Click-through rate prediction in online advertising: A literature review

Y Yang, P Zhai - Information Processing & Management, 2022 - Elsevier
… on CTR prediction models in the context of online advertising, excluding those in other
contexts such as recommender system and Web search. Although Web search, recommender …

Analyzing and learning from user interactions for search clarification

H Zamani, B Mitra, E Chen, G Lueck, F Diaz… - Proceedings of the 43rd …, 2020 - dl.acm.org
… proposed models outperform the baselines on both click data and human labeled data. In
the future, we intend to study click models for clarification panes to reduce the impact of click

Search engine optimization: The long-term strategy of keyword choice

A Erdmann, R Arilla, JM Ponzoa - Journal of Business Research, 2022 - Elsevier
… In digital marketing planning, keyword choice for search engine positioning is crucial for
customer … This paper suggests drawing long-term inferences from estimated cost per click, as the …

Keyword selection strategies in search engine optimization: how relevant is relevance?

M Nagpal, JA Petersen - Journal of retailing, 2021 - Elsevier
… We build an empirical framework using search queries and organic click data … web content
creation. Specifically, we study how search characteristics (search query popularity, search