## 4 Results
### Data Description  
The public AOL query log dataset ([[http://www.gregsadetsky.com/_aol-data](http://www.gregsadetsky.com/_aol-data)]([http://www.gregsadetsky.com/_aol-data](http://www.gregsadetsky.com/_aol-data)) accessed on 18 September 2019) in the real word is used for experimental verification. This collection consists of 20 M web queries collected from 650 k users over three months in 2006. The data is sorted by anonymous user ID and sequentially arranged. The data set includes {AnonID, Query, QueryTime, ItemRank, ClickURL}. AnonID represents an anonymous user ID number. Query indicates the query issued by the user. QueryTime indicates the time at which the query was submitted for search. If the user clicked on a search result, the rank of the item on which they clicked is listed, and it is marked as ItemRank. If the user clicked on a search result, the domain portion of the URL in the clicked result is listed, which is marked as ClickURL.  
We preprocessed the AOL query log dataset before conducting experiments. First, we successively removed query terms containing URL strings, query terms containing special characters, and query terms that did not contain click URLs. Then, we utilized \"15 min interval\" [50] to derive reasonable session breaks in online queries in order to better investigate the effectiveness of the ALDA model. Finally, we divided each user's search records into training sets and test sets with a ratio of 80%/20%. Part of the AOL query log dataset format is shown in Table 2.  
The Retailrocket data ([[https://www.kaggle.com/retailrocket/ecommerce-dataset](https://www.kaggle.com/retailrocket/ecommerce-dataset)]([https://www.kaggle.com/retailrocket/ecommerce-dataset](https://www.kaggle.com/retailrocket/ecommerce-dataset)) accessed on 18 September 2019) was collected from a real-world e-commerce site. The data includes 2,756,101 behavior records from 1,407,580 users, including 2,664,312 views, 69,332 cart additions, and 22,457 purchases.  
The entire dataset contains three files: behavioral data file, category relationship file, and item properties file. Each row of data describes the user's behavior on an item at a certain time.  
\begin{table}
\begin{tabular}{c c c c c} \hline \hline
**AnonID** & **Query** & **QueryTime** & **ItemRank** & **ClickURL** \\ \hline
479 & car decals & 2006-03-03 23:20:12 & 4 & [[http://www.decaljunky.com](http://www.decaljunky.com)]([http://www.decaljunky.com](http://www.decaljunky.com)) \\
479 & car decals & 2006-03-03 23:20:12 & 1 & [[http://www.modermimage.net](http://www.modermimage.net)]([http://www.modermimage.net](http://www.modermimage.net)) \\
479 & car decals & 2006-03-03 23:20:12 & 5 & [[http://www.webdecal.com](http://www.webdecal.com)]([http://www.webdecal.com](http://www.webdecal.com)) \\
479 & car window decals & 2006-03-03 23:24:05 & 9 & [[http://www.customautofrim.com](http://www.customautofrim.com)]([http://www.customautofrim.com](http://www.customautofrim.com)) \\
479 & car window sponsor decals & 2006-03-03 23:27:17 & 3 & [[http://www.streeglo.net](http://www.streeglo.net)]([http://www.streeglo.net](http://www.streeglo.net)) \\
1020 & slot machine tips & 2006-04-18 12:43:46 & 1 & [[http://www.slotadvisor.com](http://www.slotadvisor.com)]([http://www.slotadvisor.com](http://www.slotadvisor.com)) \\
1020 & slot machine tips & 2006-04-18 12:43:46 & 4 & [[http://www.thegamblersedge.com](http://www.thegamblersedge.com)]([http://www.thegamblersedge.com](http://www.thegamblersedge.com)) \\
1020 & slot machine tips & 2006-04-18 12:43:46 & 8 & [[http://www.gambling.jaxworld.com](http://www.gambling.jaxworld.com)]([http://www.gambling.jaxworld.com](http://www.gambling.jaxworld.com)) \\
1020 & slot machine tips & 2006-04-18 13:06:52 & 11 & [[http://www.licensed4](http://www.licensed4) fun.com]([http://www.licensed4](http://www.licensed4) fun.com) \\ \hline \hline \end{tabular}
\end{table}
Table 2: The example of the AOL query log dataset.